Computation of Square Roots

Total Page:16

File Type:pdf, Size:1020Kb

Computation of Square Roots AM1 LLC U11891 1 (at present unknown) method of extracting the square Computing Square Roots 2 root of numbers approximately." "His method for computing square roots was similar to that used by the 1 June 2005 3 Babylonians." One of the Babylonian methods used James A. Crawford was essentially the same as the method known as “Newton’s Method” in more modern times, and we will http://www.am1.us/ examine this technique in Section 4.2. A second method attributed to the Babylonians is known as the “ladder method” and we will examine that method in Section 4.6. 1 Introduction In the first century AD, the Greek 4 Aside from the basic trigonometric and logarithm mathematician Heron of Alexandria also made use of functions, the square-root (SQRT) function is one of Newton’s Method for computing square roots. There the first functions that we encounter in school that can be no question but that the ancient Pythagoreans forces us to deal with irrational numbers. As a student were keenly aware of square roots since of computation, greater insight into mathematics can 2 2 be had by knowing more about what is behind the √x (1) c = a + b function on a $7.99 Casio calculator. This memorandum takes a brief look at methods for in which a,b, and c are the sides of the right-triangle calculating the square root of a positive real value. shown in Figure 1. One of the primary motivations for studying the square root function here is to uncover methods that Figure 1 Basic Right-Triangle Used for can be easily implemented in semi-custom VLSI Pythagorean Theorem circuitry. For simplicity sake, attention within this paper will be limited to base-10 floating-point numbers even though VLSI implementations are normally binary in c nature. Some computational techniques are better b suited to the base-2 number system than others, but we defer such considerations to other texts that deal with this subject in depth. The square root computational methods that will a be examined are: One of the very first electronic computers in the world named the ENIAC used the “sum of odd Sums of odd integers integers” method to compute5 square root as described Continued fractions in Section 3.1. Numbers with a fractional portion were Long-hand division simply pre-multiplied by an even power of 10 in order Newton’s type-1 to circumvent the technique’s limitation to purely Double-step Newton’s type-1 integer values. Newton’s type-2 A brief search of the Internet reveals that many Secant societies like India and China also have a rich history Muir’s of computation regarding the square root function, and Ladder (Theon) interested readers are encouraged to utilize that Taylor series resource to do their own research on this topic. Chebyshev economized series Rational series Cordic Bisection 2 A Touch of History It is always valuable to have some awareness of 2 C. B. Boyer, A History of Mathematics, 1968 history when it comes to long-standing concepts such 3 “Archimedes and the Square Root of 3”, as the square root. http://www.mathpages.com/home/kmath038.htm "It1 would seem that [Archimedes] had some 4 http://www.merriampark.com/bigsqrt.htm 5 1 W.W Rouse Ball, Short Account of The History of http://www4.wittenberg.edu/academics/mathcomp/bjsdi Mathematics, 1908 r/ENIACSquareRoot.htm 1 June 2005 U11891 Computing Sqrt.doc Version 1.0 2005 J.A. Crawford AM1 LLC U11891 2 In the case of A = 2, this formula converges to within 2 3 Interesting Facts 10-9 after 10 iterations. Before we jump into serious computation of the Another simple recursion for the square root SQRT function, it is interesting to look at a few can be found by starting with the identify examples that surprisingly pertain to square roots. 2 (5) (1+ x) = A 3.1 Sums of Odd Integers Upon expanding this out we obtain The sum of the first N odd integers produces a sum equal to N2. On the surface, this is a very surprising result but nevertheless true. The first few (6) x(2 + x) = A −1 cases of If we ªboldlyº assume that we can divide the right-hand N side by (2+x) in order to refine our estimate for x, we 2 (2) ∑(2ii −1) = N obtain the recursion ii=1 A −1 follow as shown below: (7) xi+1 = 2 + xi 1 + 3 = 4 1 + 3 + 5 = 9 and upon repeated application of this recursion, we 1 + 3 + 5 + 7 = 16 can formulate the continued fraction expression given 1 + 3 + 5 + 7 + 9 = 25 by The underlying mathematics responsible for A −1 this result6 is based upon the simple arithmetic series (8) x = A −1 result in which 2 + A −1 2 + N N A −1 (3) a + nd = Na + N +1 d 2 + ∑( ) ( ) A −1 n=1 2 2 + A −1 2 + Selecting a= -1 and d=2 provides the result given by 2 +... (2). Although this result does not directly lend itself to an algorithm for computing non-integer square roots, it with the final result given as √A= 1 + x. is still an intriguing result, and as noted in Section 2, it This ad-hoc recursion is interesting, but the was the basis for computing square roots in the ENIAC heavy reliance upon division makes it fairly unattractive computer. for square root computation because it converges rather slowly as shown in Figure 2 and Figure 3. It is also fun to note that if we had started with 3.2 Continued Fractions a slightly different identity of A second interesting result7 for the square root 2 of a value A is provided by the continued fraction form 1 where √A = 1 + r in which (9) x + = A 2 1 (4) r = 1 A + the appropriate recursion would have been 1 A + 1 1 A + A − A +... 4 (10) xi+1 = 1+ xi and the final root given by √A= x + 0.50. 6 [1], page 30 It is very interesting that this simple continued 7 [2], page 104 fraction method works as well as it does, and it seems 1 June 2005 U11891 Computing Sqrt.doc Version 1.0 2005 J.A. Crawford AM1 LLC U11891 3 plausible that other forms are also possible. 4 Computational Methods for Square Root Figure 2 Convergence of Continued Fraction A wide range of computational methods for SQRT Method (8) Versus A and Number of Iterations 8 are provided in the sections that follow. Non-rigorous Convergence of Continued Fraction Method attention is also provided to the convergence question 1 for each method as well. 0.1 0.01 4.1 Long-Hand Grade School 3 1 .10 Method 4 1 .10 Most of us learned a long-hand method for r computing the square root function at one point or o r 5 r 1 .10 E another in school, but with little or no explanation for 6 why the method worked. The method shares many 1 .10 visual similarities with long-hand division. First we will 7 1 .10 present the method, and then justification will be 8 provided for why this method works. 1 .10 9 1 .10 9 10 4.1.1 Long-Hand SQRT Method 1 .10 0 10 20 30 40 Assume that we wish to compute the square Iteration root of a positive base-10 value represented by A=2 n1n2n3.n4n5n6 where each ni represents an integer A=10 between 0 and 9. For the case where a= 652.341, n2= A=0.10 5 for example. A=5 The long-hand method consists of the following steps: Figure 3 Convergence Range for Continued Fraction Method 8) • Step 1: Group the number in "twos" from the Continued Fraction Method decimal place. (If you have a number with an odd 10 number of digits, the group to the far left will only 1 be a group of 1 digit.) 0.1 • Step 2: Start with the first group of two (the group on the left). This group may be a group of only one 0.01 number if your number has an odd number of digits. 3 1 10 Find the greatest square less than or equal to that 4 1 .10 group of digits and its square root will be your first r . 5 o 1 10 approximation of the entire square root. r r 6 E 1 .10 • Step 3: Subtract the current approximation squared 7 1 .10 and bring down the next group of numbers behind 8 it. This is your next number to work with. 1 .10 9 • Step 4: Double the current approximation of the 1 .10 root. 10 1 10 • Step 5: Find the "ones" digit of the doubled number 11 1 .10 that would result in a number which divides into the 12 1 .10 3 number you are currently working with- with the 1 .10 0.01 0.1 1 10 100 smallest possible remainder. This is the next A 15 Iterations number in your approximation of the square root. 30 Iterations 100 Iterations 8 See Section 3.2 of [6] for additional discussion 9 http://jwilson.coe.uga.edu/EMT668/EMAT6680.F99/Ch allen/squareroot/sqrt.html 1 June 2005 U11891 Computing Sqrt.doc Version 1.0 2005 J.A. Crawford AM1 LLC U11891 4 • Step 6: Multiply the "ones" digit by the doubled 4.1.2 Justification for Long-Hand number plus the "ones" digit. Subtract this number 10 from the number you are currently working with SQRT Method The square root of a number A is the number and bring down the next group of numbers behind 2 it.
Recommended publications
  • Euler's Square Root Laws for Negative Numbers
    Ursinus College Digital Commons @ Ursinus College Transforming Instruction in Undergraduate Complex Numbers Mathematics via Primary Historical Sources (TRIUMPHS) Winter 2020 Euler's Square Root Laws for Negative Numbers Dave Ruch Follow this and additional works at: https://digitalcommons.ursinus.edu/triumphs_complex Part of the Curriculum and Instruction Commons, Educational Methods Commons, Higher Education Commons, and the Science and Mathematics Education Commons Click here to let us know how access to this document benefits ou.y Euler’sSquare Root Laws for Negative Numbers David Ruch December 17, 2019 1 Introduction We learn in elementary algebra that the square root product law pa pb = pab (1) · is valid for any positive real numbers a, b. For example, p2 p3 = p6. An important question · for the study of complex variables is this: will this product law be valid when a and b are complex numbers? The great Leonard Euler discussed some aspects of this question in his 1770 book Elements of Algebra, which was written as a textbook [Euler, 1770]. However, some of his statements drew criticism [Martinez, 2007], as we shall see in the next section. 2 Euler’sIntroduction to Imaginary Numbers In the following passage with excerpts from Sections 139—148of Chapter XIII, entitled Of Impossible or Imaginary Quantities, Euler meant the quantity a to be a positive number. 1111111111111111111111111111111111111111 The squares of numbers, negative as well as positive, are always positive. ...To extract the root of a negative number, a great diffi culty arises; since there is no assignable number, the square of which would be a negative quantity. Suppose, for example, that we wished to extract the root of 4; we here require such as number as, when multiplied by itself, would produce 4; now, this number is neither +2 nor 2, because the square both of 2 and of 2 is +4, and not 4.
    [Show full text]
  • Study Guide Real Numbers
    REAL NUMBERS What Are Real Numbers? Real numbers are the set of rational and irrational numbers. The set of rational numbers includes integers, whole numbers, and natural numbers. • A rational number is a number that can be made into a fraction. Decimals that repeat or terminate are rational because they can be changed into fractions. • An irrational number is a number that cannot be made into a fraction. Decimals that do not repeat or end are irrational numbers. • A square root of a number is a number that when multiplied by itself will result in the original number. The square root of 4 is 2 because 2 · 2 = 4. o A square root does not have to be a whole number or a rational number. The square root of 1.44 is 1.2 and the square root of 3 is 1.732050808…. o There are two solutions for a square root of a positive number, positive and negative. Square roots are used in mathematical operations.Sign The InequationsSign are solvedUp using inverse operations and when x² is found, the square root of a number is taken to find the answer. o The square of a number is a number multiplied by itself. Three squared, 3², is equal to 3 · 3, which is 9. © Copyright NewPath Learning. All Rights Reserved. Permission is granted for the purchaser to print copies for non-commercial educational purposes only. Visit us at www.NewPathWorksheets.com. How to use real numbers Any real number is either rational or irrational. Pi is an irrational number. Which of the following numbers are rational? Which are irrational? Ex.
    [Show full text]
  • Data Analysis with Python
    Data analysis with Python What is typically done in data analysis? We assume that data is already available, so we only need to download it. After downloading the data it needs to be cleaned to enable further analysis. In the cleaning phase the data is converted to some uniform and consistent format. After which the data can, for instance, be -combined or divided into smaller chunks -grouped or sorted, -condensed into small number of summary statistics -numerical or string operations can be performed on the data The point is to manipulate the data into a form that enables discovery of relationships and regularities among the elements of data. Visualization of data often helps to get a better understanding of the data. Another useful tool for data analysis is machine learning, where a mathematical or statistical model is fitted to the data. These models can then be used to make predictions of new data, or can be used to explain or describe the current data. Python is a popular, easy to learn programming language. It is commonly used in the field of data analysis, because there are very efficient libraries available to process large amounts of data. This so called data analysis stack includes libraries such of NumPy, Pandas, Matplotlib and SciPy that we will familiarize ourselves. No previous knowledge of Python is needed as will start with a quick introduction to Python. It is however assumed that you have good programming skills in some language. In addition, linear algebra and probability calculus are prerequisites of this course.It is recommended that you do this course in the end of bachelor degree or in the beginning of masters degree; preferably before the course “Introduction to Data Science”.
    [Show full text]
  • Creation of an Infinite Fibonacci Number Sequence Table
    Creation of an infinite Fibonacci Number Sequence Table ( Weblink to the Infinite Fibonacci Number Sequence Table ) ) - by Dipl. Ing. (FH) Harry K. Hahn - ) Ettlingen / Germany ------------------------------ 12. June 2019 - Update from 3. August 2020 Note: This study is not allowed for commercial use ! Abstract : A Fibonacci-Number-Sequences-Table was developed, which contains infinite Fibonacci-Sequences. This was achieved with the help of research results from an extensive botanical study. This study examined the phyllotactic patterns ( Fibonacci-Sequences ) which appear in the tree-species “Pinus mugo“ at different altitudes ( from 550m up to 2500m ) With the increase of altitude above around 2000m the phyllotactic patterns change considerably, the number of patterns ( different Fibonacci Sequences ) grows from 3 to 12, and the relative frequency of the main Fibonacci Sequence decreases from 88 % to 38 %. The appearance of more Fibonacci-Sequences in the plant clearly is linked to environmental ( physical ) factors changing with altitude. Especially changes in temperature- / radiation- conditions seem to be the main cause which defines which Fibonnacci-Patterns appear in which frequency. The developed ( natural ) Fibonacci-Sequence-Table shows interesting spatial dependencies between numbers of different Fibonacci-Sequences, which are connected to each other, by the golden ratio ( constant Phi ) see Table An interesting property of the numbers in the main Fibonacci-Sequence F1 seems to be, that these numbers contain all prime numbers as prime factors ! in all other Fibonacci-Sequences ≥ F2, which are not a multiple of Sequence F1, certain prime factors seem to be missing in the factorized Fibbonacci-Numbers ( e.g. in Sequences F2, F6 & F8 ).
    [Show full text]
  • Sections Beyond Golden
    BRIDGES Mathematical Connections in Art, Music, and Science Sections Beyond Golden Peter Steinbach Albuquerque Technical-Vocational Institute Albuquerque NM 87106 [email protected] Over the centuries, the Fine Arts have celebmted seveml special. numerical ratios and proportions for their visual dynamics or balance and sometimes for their musical potential. From the golden ratio to the sacred cut, numerical relationships are at the heart of some of the greatest works of Nature and of Western design. This article introduces to interdisciplinary designers three newly-discovered numerical relations and summarizes current knowledge about them~ Together with the golden ratio they form a golden family, and though not well understood yet, they are very compelling, both as mathematical diversions and as design elements. They also point toward an interesting geometry problem that is not yet solved. (Some of these ideas also appear in [5] in more technical language.) I. Sections and proportions First I want to clarify what is meant by golden ratio, golden mean, golden section and golden proportion. When a line is cut (sected) by a point, three segments are induced: the two parts and the whole. Where would you cut a segment so that the three lengths fit a proportion? Since a proportion has four entries, one of the three lengths must be repeated, and a little experimentation will show that you must repeat the larger part created by the cut. Figure 1 shows the golden section and golden proportion. The larger part, a, is the mean of the extremes, b and a + b. As the Greeks put it The whole is to the larger part as the larger is to the smaller part.
    [Show full text]
  • Fibonacci Quanta
    Fibonacci Form and the Quantized Mark by Louis H. Kauffman Department of Mathematics, Statistics and Computer Science University of Illinois at Chicago 851 South Morgan St., Chicago IL 60607-7045, USA <[email protected]> I. Introduction To the extent that this paper is just about the Fibonacci series it is about the Fibonacci Form F = = F F whose notation we shall explain in due course. The Fibonacci form is an infinite abstract form that reenters its own indicational space, doubling with a shift that produces a Fibonacci number of divisions of the interior space at every given depth. This is the infinite description of well-known recursions that produce the Fibonacci series. The paper is organized to provide a wider background for this point of view. We begin by recalling the relationship of the Fibonacci series with the golden ratio and the golden rectangle and we prove a Theorem in Section II showing the uniqueness of the infinite spiraling decomposition of the golden rectangle into distinct squares. The proof of the Theorem shows how naturally the Fibonacci numbers and the golden ration appear in this classical geometric context. Section III provides background about Laws of Form and the formalism in which the mark is seen to represent a distinction. With these concepts in place, we are prepared to discuss infinite reentering forms, including the Fibonacci form in Section IV. Section V continues the discussion of infinite forms and "eigenforms" in the sense of Heinz von Foerster. Finally, Section VI returns to the Fibonacci series via the patterns of self-interaction of the mark.
    [Show full text]
  • Rational Exponents and Radicals
    26 ChapterP r rn Prerequisites Rational Exponentsand Radicals Raising a number to a power is reversedby finding the root of a number. we indicate roots by using rational exponentsor radicals. In this section we will review defini- tions and rules concerning rational exponentsand radicals. Roots Since2a : 16 and (-D4 : 16,both 2 and -2 are fourth roots of 16.The nth root of a number is defined in terms of the nth Dower. Definition:nth Roots lf n is a positive integer and an : b, then a is called an nth root of b. If a2 : b, thena is a squareroot ofD. lf a3 : b,thena is the cube root ofb. we also describeroots as evenor odd"depending on whetherthe positive integeris even or odd. For example,iffl is even (or odd) and a is an nth root ofb, then a is called an even (or odd) root of b. Every positive real number has two real even roots, a positive root and a negativeroot. For example,both 5 and -5 are square roots of 25 because52 :25 and (-5)2 : 25. Moreover,every real numberhas exactly onereal odd root. For example,because 23 : 8 and 3 is odd,2 is the only real cuberoot of 8. Because(-2)3 : -8 and 3 is odd, -2 is the only real cube root of -8. Finding an nth root is the reverseof finding an nth power, so we use the notation at/n for the nth root of a. For example, since the positive squareroot of 25 is 5, we write25t/2 : 5.
    [Show full text]
  • 4 VIII CBSE Mathematics – Rational Numbers
    4 VIII CBSE Mathematics – Rational Numbers Instruction: This booklet can be used while watching videos. Keep filling the sheet as the videos proceed. 1. Introduction Have you ever thought about a life without numbers??? Can you really imagine that? A life without knowing when you are born!! A life without mobile phone numbers!! A life in which how much money you have in your wallet!! Question 1. The numbers which are used for counting objects are called _____________. Question 2. The number which is part of whole numbers and not a part of natural numbers is ________. Question 3. The set of positive and negative integers together with 0 is called ___________. Question 4. When we divide an integer by another integer, the resulting number is always an integer. (True/False) a. Rational numbers p Numbers which are represented in the form where p and q are integers and q ≠ 0 are q rational numbers. Set of numbers and their notation Set of numbers Notation Natural numbers N Whole numbers W Integers I or Z Rational numbers Q Question 5. All the integers are rational numbers. Justify the statement. Copyright © Think and Learn Pvt. Ltd. 5 VIII CBSE Mathematics – Rational Numbers 2. Properties of rational numbers a. Closure property Operation Closed (Yes/No) Addition 3 2 Yes + = ________ 7 5 4 2 − + = __________ 9 3 Conclusion: Rational numbers are closed under addition Subtraction 3 2 − = ________ 7 5 −4 2 − = __________ 9 3 Conclusion: Multiplication 2 −4 × = ________ 3 5 4 7 × = _________ 7 2 Conclusion: Division 5 2 ÷ = _______ 3 9 2 ÷ 0 = _________ 3 Conclusion: b.
    [Show full text]
  • Coping with Significant Figures by Patrick Duffy Last Revised: August 30, 1999
    Coping with Significant Figures by Patrick Duffy Last revised: August 30, 1999 1. WHERE DO THEY COME FROM? 2 2. GETTING STARTED 3 2.1 Exact Numbers 3 2.2 Recognizing Significant Figures 3 2.3 Counting Significant Figures 4 3. CALCULATIONS 5 3.1 Rounding Off Numbers: When to do it 5 3.2 Basic Addition and Subtraction 6 3.3 Multiplication and Division 6 3.4 Square Roots 7 3.4.1 What are Square Roots? 7 3.4.2 How to Use Significant Figures With Square Roots 7 3.5 Logarithms 8 3.5.1 What Are Logarithms? 8 3.5.2 How to Use Significant Figures With Logarithms 9 3.6 Using Exact Numbers 9 4. AN EXAMPLE CALCULATION 10 5. CONCLUDING COMMENTS 13 6. PRACTICE PROBLEMS 14 2 During the course of the chemistry lab this year, you will be introduced (or re-introduced) to the idea of using significant figures in your calculations. Significant figures have caused some trouble for students in the past and many marks have been lost as a result of the confusion about how to deal with them. Hopefully this little primer will help you understand where they come from, what they mean, and how to deal with them during lab write-ups. When laid out clearly and applied consistently, they are relatively easy to use. In any event, if you have difficulties I (or for that matter any member of the chemistry teaching staff at Kwantlen) will be only too happy to help sort them out with you. 1.
    [Show full text]
  • Assignment 2 Answers Math 105 History of Mathematics
    and 9 is three times 3, the reciprocal of 18 can be found in three steps. The reciprocal of 3 is 0;20, which without the 2 decimal point is 20. One third of 20 is 6 3 , that is ;06,40. Half of that is ;03,20 Assignment 2 answers 3 20 Math 105 History of Mathematics 9 6; 40 Prof. D. Joyce, Spring 2013 18 3; 20 Exercise 17. Convert the fractions 7=5, 13=15, 11=24, and The other reciprocals can be likewise found by dividing 33=50 to sexagesimal notation. by 2 and 3. Dividing the line 9 | 6:24 by 3 gives a line for 27. Halving that gives one for 54. It's your decision how close the the Babylonian method you perform the operations. To be pretty authentic, to find 27 3; 13; 20 7=5 you would find the reciprocal of 5, which is 0;12, and 54 1; 06; 40 multiply that by 7. Since 7 times 12 is 60 plus 24, you'll find that 7=5 = 1; 24. (Alternatively, 7=5 is 1 plus 2=5, and since 1 Repeated halving from 2 will give reciprocals for 32 and 64: 1=5 is 0; 12, therefore 2=5 is 0; 24.) For 13=15, since 1=15 is 0; 04, therefore 13=15 = 0; 52. 2 30 For 11=24, since 1=24 is half of 1=12, and 1=12 is 0; 05, 4 15 and so 1=24 is 0; 02; 30, therefore 11=24 is 11 times 0; 02; 30, 8 7; 30 which is 0; 27; 30.
    [Show full text]
  • Codes in a Creative Space
    American Journal of Applied Mathematics 2021; 9(1): 20-30 http://www.sciencepublishinggroup.com/j/ajam doi: 10.11648/j.ajam.20210901.14 ISSN: 2330-0043 (Print); ISSN: 2330-006X (Online) Reviving the Sphinx by Means of Constants - Codes in a Creative Space Hristo Smolenov Department of Navigation, Naval Academy, Varna, Bulgaria Email address: To cite this article: Hristo Smolenov. Reviving the Sphinx by Means of Constants - Codes in a Creative Space. American Journal of Applied Mathematics. Vol. 9, No. 1, 2021, pp. 20-30. doi: 10.11648/j.ajam.20210901.14 Received : March 2, 2021; Accepted : March 22, 2021; Published : March 30, 2021 Abstract: This paper deals with ancient codes embedded in world famous artefacts like the Sphinx and pyramids on the plateau of Giza. The same spatial codes are to be found materialized in the most ancient processed gold on Earth – the treasure trove of Varna Necropolis (4600 – 4200 BC). Amazing is the match found between those two groups of artefacts, bearing in mind that the gold from Varna Necropolis is at least 2000 years older than the pyramids. But the prototype of their sacred measure – the so called royal cubit – emerges in the system of measures related to the famous Varna Necropolis. It is there that I have been able to identify the prototypes of universal constants like the Golden ratio and Pi. The synergy of those two constants is there for us to uncover – for instance Pi times the Golden ratio. It is the simplest one in an array of complex proportions which come into effect in regard to primeval gold artefacts as well as pyramids.
    [Show full text]
  • Origin of Irrational Numbers and Their Approximations
    computation Review Origin of Irrational Numbers and Their Approximations Ravi P. Agarwal 1,* and Hans Agarwal 2 1 Department of Mathematics, Texas A&M University-Kingsville, 700 University Blvd., Kingsville, TX 78363, USA 2 749 Wyeth Street, Melbourne, FL 32904, USA; [email protected] * Correspondence: [email protected] Abstract: In this article a sincere effort has been made to address the origin of the incommensu- rability/irrationality of numbers. It is folklore that the starting point was several unsuccessful geometric attempts to compute the exact values of p2 and p. Ancient records substantiate that more than 5000 years back Vedic Ascetics were successful in approximating these numbers in terms of rational numbers and used these approximations for ritual sacrifices, they also indicated clearly that these numbers are incommensurable. Since then research continues for the known as well as unknown/expected irrational numbers, and their computation to trillions of decimal places. For the advancement of this broad mathematical field we shall chronologically show that each continent of the world has contributed. We genuinely hope students and teachers of mathematics will also be benefited with this article. Keywords: irrational numbers; transcendental numbers; rational approximations; history AMS Subject Classification: 01A05; 01A11; 01A32; 11-02; 65-03 Citation: Agarwal, R.P.; Agarwal, H. 1. Introduction Origin of Irrational Numbers and Their Approximations. Computation Almost from the last 2500 years philosophers have been unsuccessful in providing 2021, 9, 29. https://doi.org/10.3390/ satisfactory answer to the question “What is a Number”? The numbers 1, 2, 3, 4, , have ··· computation9030029 been called as natural numbers or positive integers because it is generally perceived that they have in some philosophical sense a natural existence independent of man.
    [Show full text]