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Integration in Terms of Exponential Integrals and Incomplete Gamma Functions
Integration in terms of exponential integrals and incomplete gamma functions Waldemar Hebisch Wrocªaw University [email protected] 13 July 2016 Introduction What is FriCAS? I FriCAS is an advanced computer algebra system I forked from Axiom in 2007 I about 30% of mathematical code is new compared to Axiom I about 200000 lines of mathematical code I math code written in Spad (high level strongly typed language very similar to FriCAS interactive language) I runtime system currently based on Lisp Some functionality added to FriCAS after fork: I several improvements to integrator I limits via Gruntz algorithm I knows about most classical special functions I guessing package I package for computations in quantum probability I noncommutative Groebner bases I asymptotically fast arbitrary precision computation of elliptic functions and elliptic integrals I new user interfaces (Emacs mode and Texmacs interface) FriCAS inherited from Axiom good (probably the best at that time) implementation of Risch algorithm (Bronstein, . ) I strong for elementary integration I when integral needed special functions used pattern matching Part of motivation for current work came from Rubi testsuite: Rubi showed that there is a lot of functions which are integrable in terms of relatively few special functions. I Adapting Rubi looked dicult I Previous work on adding special functions to Risch integrator was widely considered impractical My conclusion: Need new algorithmic approach. Ex post I claim that for considered here class of functions extension to Risch algorithm is much more powerful than pattern matching. Informally Ei(u)0 = u0 exp(u)=u Γ(a; u)0 = u0um=k exp(−u) for a = (m + k)=k and −k < m < 0. -
Learning Language Pack Availability Company
ADMINISTRATION GUIDE | PUBLIC Document Version: Q4 2019 – 2019-11-08 Learning Language Pack Availability company. All rights reserved. All rights company. affiliate THE BEST RUN 2019 SAP SE or an SAP SE or an SAP SAP 2019 © Content 1 What's New for Learning Language Pack Availability....................................3 2 Introduction to Learning Language Support...........................................4 3 Adding a New Locale in SAP SuccessFactors Learning...................................5 3.1 Locales in SAP SuccessFactors Learning................................................6 3.2 SAP SuccessFactors Learning Locales Summary..........................................6 3.3 Activating Learning Currencies...................................................... 7 3.4 Setting Users' Learning Locale Preferences..............................................8 3.5 SAP SuccessFactors Learning Time and Number Patterns in Locales........................... 9 Editing Hints to Help SAP SuccessFactors Learning Users with Date, Time, and Number Patterns ......................................................................... 10 Adding Learning Number Format Patterns........................................... 11 Adding Learning Date Format Patterns..............................................12 3.6 Updating Language Packs.........................................................13 3.7 Editing User Interface Labels - Best Practice............................................ 14 4 SAP SuccessFactors LearningLearner Languages......................................15 -
LINEAR ALGEBRA METHODS in COMBINATORICS László Babai
LINEAR ALGEBRA METHODS IN COMBINATORICS L´aszl´oBabai and P´eterFrankl Version 2.1∗ March 2020 ||||| ∗ Slight update of Version 2, 1992. ||||||||||||||||||||||| 1 c L´aszl´oBabai and P´eterFrankl. 1988, 1992, 2020. Preface Due perhaps to a recognition of the wide applicability of their elementary concepts and techniques, both combinatorics and linear algebra have gained increased representation in college mathematics curricula in recent decades. The combinatorial nature of the determinant expansion (and the related difficulty in teaching it) may hint at the plausibility of some link between the two areas. A more profound connection, the use of determinants in combinatorial enumeration goes back at least to the work of Kirchhoff in the middle of the 19th century on counting spanning trees in an electrical network. It is much less known, however, that quite apart from the theory of determinants, the elements of the theory of linear spaces has found striking applications to the theory of families of finite sets. With a mere knowledge of the concept of linear independence, unexpected connections can be made between algebra and combinatorics, thus greatly enhancing the impact of each subject on the student's perception of beauty and sense of coherence in mathematics. If these adjectives seem inflated, the reader is kindly invited to open the first chapter of the book, read the first page to the point where the first result is stated (\No more than 32 clubs can be formed in Oddtown"), and try to prove it before reading on. (The effect would, of course, be magnified if the title of this volume did not give away where to look for clues.) What we have said so far may suggest that the best place to present this material is a mathematics enhancement program for motivated high school students. -
UNIT-I Mathematical Logic Statements and Notations
UNIT-I Mathematical Logic Statements and notations: A proposition or statement is a declarative sentence that is either true or false (but not both). For instance, the following are propositions: “Paris is in France” (true), “London is in Denmark” (false), “2 < 4” (true), “4 = 7 (false)”. However the following are not propositions: “what is your name?” (this is a question), “do your homework” (this is a command), “this sentence is false” (neither true nor false), “x is an even number” (it depends on what x represents), “Socrates” (it is not even a sentence). The truth or falsehood of a proposition is called its truth value. Connectives: Connectives are used for making compound propositions. The main ones are the following (p and q represent given propositions): Name Represented Meaning Negation ¬p “not p” Conjunction p q “p and q” Disjunction p q “p or q (or both)” Exclusive Or p q “either p or q, but not both” Implication p ⊕ q “if p then q” Biconditional p q “p if and only if q” Truth Tables: Logical identity Logical identity is an operation on one logical value, typically the value of a proposition that produces a value of true if its operand is true and a value of false if its operand is false. The truth table for the logical identity operator is as follows: Logical Identity p p T T F F Logical negation Logical negation is an operation on one logical value, typically the value of a proposition that produces a value of true if its operand is false and a value of false if its operand is true. -
Think Python
Think Python How to Think Like a Computer Scientist 2nd Edition, Version 2.2.18 Think Python How to Think Like a Computer Scientist 2nd Edition, Version 2.2.18 Allen Downey Green Tea Press Needham, Massachusetts Copyright © 2015 Allen Downey. Green Tea Press 9 Washburn Ave Needham MA 02492 Permission is granted to copy, distribute, and/or modify this document under the terms of the Creative Commons Attribution-NonCommercial 3.0 Unported License, which is available at http: //creativecommons.org/licenses/by-nc/3.0/. The original form of this book is LATEX source code. Compiling this LATEX source has the effect of gen- erating a device-independent representation of a textbook, which can be converted to other formats and printed. http://www.thinkpython2.com The LATEX source for this book is available from Preface The strange history of this book In January 1999 I was preparing to teach an introductory programming class in Java. I had taught it three times and I was getting frustrated. The failure rate in the class was too high and, even for students who succeeded, the overall level of achievement was too low. One of the problems I saw was the books. They were too big, with too much unnecessary detail about Java, and not enough high-level guidance about how to program. And they all suffered from the trap door effect: they would start out easy, proceed gradually, and then somewhere around Chapter 5 the bottom would fall out. The students would get too much new material, too fast, and I would spend the rest of the semester picking up the pieces. -
Natural Domain of a Function • Range Calculations Table of Contents (Continued)
~ THE UNIVERSITY OF AKRON w Mathematics and Computer Science calculus Article: Functions menu Directory • Table of Contents • Begin tutorial on Functions • Index Copyright c 1995{1998 D. P. Story Last Revision Date: 11/6/1998 Functions Table of Contents 1. Introduction 2. The Concept of a Function 2.1. Constructing Functions • The Use of Algebraic Expressions • Piecewise Definitions • Descriptive or Conceptual Methods 2.2. Evaluation Issues • Numerical Evaluation • Symbolic Evalulation 2.3. What's in a Name • The \Standard" Way • Functions Named by the Depen- dent Variable • Descriptive Naming • Famous Functions 2.4. Models for Functions • A Function as a Mapping • Venn Diagram of a Function • A Function as a Black Box 2.5. Calculating the Domain and Range • The Natural Domain of a Function • Range Calculations Table of Contents (continued) 2.6. Recognizing Functions • Interpreting the Terminology • The Vertical Line Test 3. Graphing: First Principles 4. Methods of Combining Functions 4.1. The Algebra of Functions 4.2. The Composition of Functions 4.3. Shifting and Rescaling • Horizontal Shifting • Vertical Shifting • Rescaling 5. Classification of Functions • Polynomial Functions • Rational Functions • Algebraic Functions 1. Introduction In the world of Mathematics one of the most common creatures en- countered is the function. It is important to understand the idea of a function if you want to gain a thorough understanding of Calculus. Science concerns itself with the discovery of physical or scientific truth. In a portion of these investigations, researchers (or engineers) attempt to discern relationships between physical quantities of interest. There are many ways of interpreting the meaning of the word \relation- ships," but in Calculus we are most often concerned with functional relationships. -
Hydrology 510 Quantitative Methods in Hydrology
New Mexico Tech Hyd 510 Hydrology Program Quantitative Methods in Hydrology Hydrology 510 Quantitative Methods in Hydrology Motive Preview: Example of a function and its limits Consider the solute concentration, C [ML-3], in a confined aquifer downstream of a continuous source of solute with fixed concentration, C0, starting at time t=0. Assume that the solute advects in the aquifer while diffusing into the bounding aquitards, above and below (but which themselves have no significant flow). (A homology to this problem would be solute movement in a fracture aquitard (diffusion controlled) Flow aquifer Solute (advection controlled) aquitard (diffusion controlled) x with diffusion into the porous-matrix walls bounding the fracture: the so-called “matrix diffusion” problem. The difference with the original problem is one of spatial scale.) An approximate solution for this conceptual model, describing the space-time variation of concentration in the aquifer, is the function: 1/ 2 x x D C x D C(x,t) = C0 erfc or = erfc B vt − x vB C B v(vt − x) 0 where t is time [T] since the solute was first emitted x is the longitudinal distance [L] downstream, v is the longitudinal groundwater (seepage) velocity [L/T] in the aquifer, D is the effective molecular diffusion coefficient in the aquitard [L2/T], B is the aquifer thickness [L] and erfc is the complementary error function. Describe the behavior of this function. Pick some typical numbers for D/B2 (e.g., D ~ 10-9 m2 s-1, typical for many solutes, and B = 2m) and v (e.g., 0.1 m d-1), and graph the function vs. -
False Dilemma Wikipedia Contents
False dilemma Wikipedia Contents 1 False dilemma 1 1.1 Examples ............................................... 1 1.1.1 Morton's fork ......................................... 1 1.1.2 False choice .......................................... 2 1.1.3 Black-and-white thinking ................................... 2 1.2 See also ................................................ 2 1.3 References ............................................... 3 1.4 External links ............................................. 3 2 Affirmative action 4 2.1 Origins ................................................. 4 2.2 Women ................................................ 4 2.3 Quotas ................................................. 5 2.4 National approaches .......................................... 5 2.4.1 Africa ............................................ 5 2.4.2 Asia .............................................. 7 2.4.3 Europe ............................................ 8 2.4.4 North America ........................................ 10 2.4.5 Oceania ............................................ 11 2.4.6 South America ........................................ 11 2.5 International organizations ...................................... 11 2.5.1 United Nations ........................................ 12 2.6 Support ................................................ 12 2.6.1 Polls .............................................. 12 2.7 Criticism ............................................... 12 2.7.1 Mismatching ......................................... 13 2.8 See also -
New Approaches for Memristive Logic Computations
Portland State University PDXScholar Dissertations and Theses Dissertations and Theses 6-6-2018 New Approaches for Memristive Logic Computations Muayad Jaafar Aljafar Portland State University Let us know how access to this document benefits ouy . Follow this and additional works at: https://pdxscholar.library.pdx.edu/open_access_etds Part of the Electrical and Computer Engineering Commons Recommended Citation Aljafar, Muayad Jaafar, "New Approaches for Memristive Logic Computations" (2018). Dissertations and Theses. Paper 4372. 10.15760/etd.6256 This Dissertation is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. For more information, please contact [email protected]. New Approaches for Memristive Logic Computations by Muayad Jaafar Aljafar A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Electrical and Computer Engineering Dissertation Committee: Marek A. Perkowski, Chair John M. Acken Xiaoyu Song Steven Bleiler Portland State University 2018 © 2018 Muayad Jaafar Aljafar Abstract Over the past five decades, exponential advances in device integration in microelectronics for memory and computation applications have been observed. These advances are closely related to miniaturization in integrated circuit technologies. However, this miniaturization is reaching the physical limit (i.e., the end of Moore’s Law). This miniaturization is also causing a dramatic problem of heat dissipation in integrated circuits. Additionally, approaching the physical limit of semiconductor devices in fabrication process increases the delay of moving data between computing and memory units hence decreasing the performance. The market requirements for faster computers with lower power consumption can be addressed by new emerging technologies such as memristors. -
Pivotal Decompositions of Functions
PIVOTAL DECOMPOSITIONS OF FUNCTIONS JEAN-LUC MARICHAL AND BRUNO TEHEUX Abstract. We extend the well-known Shannon decomposition of Boolean functions to more general classes of functions. Such decompositions, which we call pivotal decompositions, express the fact that every unary section of a function only depends upon its values at two given elements. Pivotal decom- positions appear to hold for various function classes, such as the class of lattice polynomial functions or the class of multilinear polynomial functions. We also define function classes characterized by pivotal decompositions and function classes characterized by their unary members and investigate links between these two concepts. 1. Introduction A remarkable (though immediate) property of Boolean functions is the so-called Shannon decomposition, or Shannon expansion (see [20]), also called pivotal decom- position [2]. This property states that, for every Boolean function f : {0, 1}n → {0, 1} and every k ∈ [n]= {1,...,n}, the following decomposition formula holds: 1 0 n (1) f(x) = xk f(xk)+ xk f(xk) , x = (x1,...,xn) ∈{0, 1} , a where xk = 1 − xk and xk is the n-tuple whose i-th coordinate is a, if i = k, and xi, otherwise. Here the ‘+’ sign represents the classical addition for real numbers. Decomposition formula (1) means that we can precompute the function values for xk = 0 and xk = 1 and then select the appropriate value depending on the value of xk. By analogy with the cofactor expansion formula for determinants, here 1 0 f(xk) (resp. f(xk)) is called the cofactor of xk (resp. xk) for f and is derived by setting xk = 1 (resp. -
Multiple-Precision Exponential Integral and Related Functions
Multiple-Precision Exponential Integral and Related Functions David M. Smith Loyola Marymount University This article describes a collection of Fortran-95 routines for evaluating the exponential integral function, error function, sine and cosine integrals, Fresnel integrals, Bessel functions and related mathematical special functions using the FM multiple-precision arithmetic package. Categories and Subject Descriptors: G.1.0 [Numerical Analysis]: General { computer arith- metic, multiple precision arithmetic; G.1.2 [Numerical Analysis]: Approximation { special function approximation; G.4 [Mathematical Software]: { Algorithm design and analysis, efficiency, portability General Terms: Algorithms, exponential integral function, multiple precision Additional Key Words and Phrases: Accuracy, function evaluation, floating point, Fortran, math- ematical library, portable software 1. INTRODUCTION The functions described here are high-precision versions of those in the chapters on the ex- ponential integral function, error function, sine and cosine integrals, Fresnel integrals, and Bessel functions in a reference such as Abramowitz and Stegun [1965]. They are Fortran subroutines that use the FM package [Smith 1991; 1998; 2001] for multiple-precision arithmetic, constants, and elementary functions. The FM package supports high precision real, complex, and integer arithmetic and func- tions. All the standard elementary functions are included, as well as about 25 of the mathematical special functions. An interface module provides easy use of the package through three multiple- precision derived types, and also extends Fortran's array operations involving vectors and matrices to multiple-precision. The routines in this module can detect an attempt to use a multiple precision variable that has not been defined, which helps in debugging. There is great flexibility in choosing the numerical environment of the package. -
1 Issues with the Decimal Separator in Compound Creator (CC) We Have DWSIM 4.0 Installed in the Computer Classrooms, S
1 Issues with the decimal separator in Compound Creator (CC) We have DWSIM 4.0 installed in the computer classrooms, since we do the installation once in a semester (starting in February), so we haven’t updated the software in the classroom (though I have 4.3 in my desktop). With version 4.0, a team of students “created “ succinic acid with CC. They used the comma as decimal separator in Windows and in DWSIM, including CC. They used the experimental boiling point of succinic acid (they introduced 508,15 K, probably unnecessary decimal figures). However, when they added the database and created a stream of pure succinic acid, the model gave an error, failing to calculate the VLE in the stream (NRTL Nested Loops). When we edited de CC file, the boiling point in the General properties tab was shown as 5015: The comma had disappeared. And this seemed to be the source of the error. We fixed it by defining the dot as decimal separator in Windows and introducing 508.15 K in CC. Then it worked. I tried to reproduce the error some days later in DWSIM 4.3, but all worked perfectly: comma in Windows and comma in DWSIM including CC. Just an example of how the use of comma or dot can be a bit confusing for the user. Also, it seems that Compound Creator in DWSIM 4.3 allows to use the comma as decimal separator. I attach a PDF with the details of “everything apparently OK” with the comma in CC in 4.3.