2006 Fulkerson Prize
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Patent Filed, Commercialized & Granted Data
Granted IPR Legends Applied IPR Total IPR filed till date 1995 S.No. Inventors Title IPA Date Grant Date 1 Prof. P K Bhattacharya (ChE) Process for the Recovery of 814/DEL/1995 03.05.1995 189310 05.05.2005 Inorganic Sodium Compounds from Kraft Black Liquor 1996 S.No. Inventors Title IPA Date Grant Date 1 Dr. Sudipta Mukherjee (ME), A Novel Attachment for Affixing to 1321/DEL/1996 12.08.1996 192495 28.10.2005 Anupam Nagory (Student, ME) Luggage Articles 2 Prof. Kunal Ghosh (AE) A Device for Extracting Power from 2673/DEL/1996 02.12.1996 212643 10.12.2007 to-and-fro Wind 1997 S.No. Inventors Title IPA Date Grant Date 1 Dr. D Manjunath, Jayesh V Shah Split-table Atm Multicast Switch 983/DEL/1997 17.04.1997 233357 29.03.2009 1998 S.No. Inventors Title IPA Date Grant Date 1999 1 Prof. K. A. Padmanabhan, Dr. Rajat Portable Computer Prinet 1521/DEL/1999 06.12.1999 212999 20.12.2007 Moona, Mr. Rohit Toshniwal, Mr. Bipul Parua 2000 S.No. Inventors Title IPA Date Grant Date 1 Prof. S. SundarManoharan (Chem), A Magnetic Polymer Composition 858/DEL/2000 22.09.2000 216744 24.03.2008 Manju Lata Rao and Process for the Preparation of the Same 2 Prof. S. Sundar Manoharan (Chem) Magnetic Cro2 – Polymer 933/DEL/2000 22.09.2000 217159 27.03.2008 Composite Blends 3 Prof. S. Sundar Manoharan (Chem) A Magneto Conductive Polymer 859/DEL/2000 22.09.2000 216743 19.03.2008 Compositon for Read and Write Head and a Process for Preparation Thereof 4 Prof. -
Design Programme Indian Institute of Technology Kanpur
Design Programme Indian Institute of Technology Kanpur Contents Overview 01- 38 Academic 39-44 Profile Achievements 45-78 Design Infrastructure 79-92 Proposal for Ph.D program 93-98 Vision 99-104 01 ew The design-phase of a product is like a womb of a mother where the most important attributes of a life are concieved. The designer is required to consider all stages of a product-life like manufacturing, marketing, maintenance, and the disposal after completion of product life-cycle. The design-phase, which is based on creativity, is often exciting and satisfying. But the designer has to work hard worrying about a large number of parameters of man. In Indian context, the design of products is still at an embryonic stage. The design- phase of a product is often neglected in lieu of manufacturing. A rapid growth of design activities in India is a must to bring the edge difference in the world of mass manufacturing and mass accessibility. The start of Design Programme at IIT Kanpur in the year 2001, is a step in this direction. overvi The Design Program at IIT-Kanpur was established with the objective of advancing our intellectual and scientific understanding of the theory and practice of design, along with the system of design process management and product semantics. The programme, since its inception in 2002, aimed at training post-graduate students in the technical, aesthetic and ergonomic practices of the field and to help them to comprehend the broader cultural issues associated with contemporary design. True to its interdisciplinary approach, the faculty members are from varied fields of engineering like mechanical, computer science, bio sciences, electrical and chemical engineering and humanities. -
Prizes and Awards Session
PRIZES AND AWARDS SESSION Wednesday, July 12, 2021 9:00 AM EDT 2021 SIAM Annual Meeting July 19 – 23, 2021 Held in Virtual Format 1 Table of Contents AWM-SIAM Sonia Kovalevsky Lecture ................................................................................................... 3 George B. Dantzig Prize ............................................................................................................................. 5 George Pólya Prize for Mathematical Exposition .................................................................................... 7 George Pólya Prize in Applied Combinatorics ......................................................................................... 8 I.E. Block Community Lecture .................................................................................................................. 9 John von Neumann Prize ......................................................................................................................... 11 Lagrange Prize in Continuous Optimization .......................................................................................... 13 Ralph E. Kleinman Prize .......................................................................................................................... 15 SIAM Prize for Distinguished Service to the Profession ....................................................................... 17 SIAM Student Paper Prizes .................................................................................................................... -
Thesis Title
Exp(n+d)-time Algorithms for Computing Division, GCD and Identity Testing of Polynomials A Thesis Submitted in Partial Fulfilment of the Requirements for the Degree of Master of Technology by Kartik Kale Roll No. : 15111019 under the guidance of Prof. Nitin Saxena Department of Computer Science and Engineering Indian Institute of Technology Kanpur June, 2017 Abstract Agrawal and Vinay showed that a poly(s) hitting set for ΣΠaΣΠb(n) circuits of size s, where a is !(1) and b is O(log s) , gives us a quasipolynomial hitting set for general VP circuits [AV08]. Recently, improving the work of Agrawal and Vinay, it was showed that a poly(s) hitting set for Σ ^a ΣΠb(n) circuits of size s, where a is !(1) and n, b are O(log s), gives us a quasipolynomial hitting set for general VP circuits [AFGS17]. The inputs to the ^ gates are polynomials whose arity and total degree is O(log s). (These polynomials are sometimes called `tiny' polynomials). In this thesis, we will give a new 2O(n+d)-time algorithm to divide an n-variate polynomial of total degree d by its factor. Note that this is not an algorithm to compute division with remainder, but it finds the quotient under the promise that the divisor completely divides the dividend. The intuition behind allowing exponential time complexity here is that we will later apply these algorithms on `tiny' polynomials, and 2O(n+d) is just poly(s) in case of tiny polynomials. We will also describe an 2O(n+d)-time algorithm to find the GCD of two n-variate polynomials of total degree d. -
A Super-Quadratic Lower Bound for Depth Four Arithmetic
A Super-Quadratic Lower Bound for Depth Four Arithmetic Circuits Nikhil Gupta Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India [email protected] Chandan Saha Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India [email protected] Bhargav Thankey Department of Computer Science and Automation, Indian Institute of Science, Bangalore, India [email protected] Abstract We show an Ωe(n2.5) lower bound for general depth four arithmetic circuits computing an explicit n-variate degree-Θ(n) multilinear polynomial over any field of characteristic zero. To our knowledge, and as stated in the survey [88], no super-quadratic lower bound was known for depth four circuits over fields of characteristic 6= 2 before this work. The previous best lower bound is Ωe(n1.5) [85], which is a slight quantitative improvement over the roughly Ω(n1.33) bound obtained by invoking the super-linear lower bound for constant depth circuits in [73, 86]. Our lower bound proof follows the approach of the almost cubic lower bound for depth three circuits in [53] by replacing the shifted partials measure with a suitable variant of the projected shifted partials measure, but it differs from [53]’s proof at a crucial step – namely, the way “heavy” product gates are handled. Loosely speaking, a heavy product gate has a relatively high fan-in. Product gates of a depth three circuit compute products of affine forms, and so, it is easy to prune Θ(n) many heavy product gates by projecting the circuit to a low-dimensional affine subspace [53,87]. -
Algorithms for the Multiplication Table Problem
ALGORITHMS FOR THE MULTIPLICATION TABLE PROBLEM RICHARD BRENT, CARL POMERANCE, DAVID PURDUM, AND JONATHAN WEBSTER Abstract. Let M(n) denote the number of distinct entries in the n×n multi- plication table. The function M(n) has been studied by Erd}os,Tenenbaum, Ford, and others, but the asymptotic behaviour of M(n) as n ! 1 is not known precisely. Thus, there is some interest in algorithms for computing M(n) either exactly or approximately. We compare several algorithms for computing M(n) exactly, and give a new algorithm that has a subquadratic running time. We also present two Monte Carlo algorithms for approximate computation of M(n). We give the results of exact computations for values of n up to 230, and of Monte Carlo computations for n up to 2100;000;000, and compare our experimental results with Ford's order-of-magnitude result. 1. Introduction Although a multiplication table is understood by a typical student in elementary school, there remains much that we do not know about such tables. In 1955, Erd}os studied the problem of counting the number M(n) of distinct products in an n × n multiplication table. That is, M(n) := jfij : 1 ≤ i; j ≤ ngj. In [12], Erd}osshowed that M(n) = o(n2). Five years later, in [13], he obtained n2 (1) M(n) = as n ! 1; (log n)c+o(1) where (here and below) c = 1 − (1 + log log 2)= log 2 ≈ 0:086071. In 2008, Ford [15, 16] gave the correct order of magnitude (2) M(n) = Θ(n2=Φ(n)); where (3) Φ(n) := (log n)c(log log n)3=2 is a slowly-growing function.1 Note that (2) is not a true asymptotic formula, as M(n)=(n2=Φ(n)) might or might not tend to a limit as n ! 1. -
Reconstruction of Non-Degenerate Homogeneous Depth Three Circuits
Reconstruction of non-degenerate homogeneous depth three circuits Neeraj Kayal Chandan Saha Microsoft Research India Indian Institute of Science [email protected] [email protected] February 26, 2019 Abstract A homogeneous depth three circuit C computes a polynomial f = T1 + T2 + ... + Ts , where each Ti is a product of d linear forms in n variables over some underlying field F. Given black-box access to f , can we efficiently reconstruct (i.e. proper learn) a homogeneous depth three circuit computing f ? Learning various subclasses of circuits is natural and interesting from both theoretical and practical standpoints and in particular, properly learning homoge- neous depth three circuits efficiently is stated as an open problem in a work by Klivans and Shpilka (COLT 2003) and is well-studied. Unfortunately, there is substantial amount of evi- dence to show that this is a hard problem in the worst case. We give a (randomized) poly(n, d, s)-time algorithm to reconstruct non-degenerate homoge- neous depth three circuits for n = W(d2) (with some additional mild requirements on s and the characteristic of F). We call a circuit C as non-degenerate if the dimension of the partial deriva- tive space of f equals the sum of the dimensions of the partial derivative spaces of the terms T1, T2,..., Ts. In this sense, the terms are “independent” of each other in a non-degenerate cir- cuit. A random homogeneous depth three circuit (where the coefficients of the linear forms are chosen according to the uniform distribution or any other reasonable distribution) is almost surely non-degenerate. -
A Selection of Lower Bounds for Arithmetic Circuits
A selection of lower bounds for arithmetic circuits Neeraj Kayal Ramprasad Saptharishi Microsoft Research India Microsoft Research India [email protected] [email protected] January 31, 2014 It is convenient to have a measure of the amount of work involved in a computing process, even though it be a very crude one ... We might, for instance, count the number of additions, subtractions, multiplications, divisions, recordings of numbers,... from Rounding-off errors in matrix processes, Alan M. Turing, 1948. 1 Introduction Polynomials originated in classical mathematical studies concerning geometry and solutions to systems of equations. They feature in many classical results in algebra, number theory and geom- etry - e.g. in Galois and Abel’s resolution of the solvability via radicals of a quintic, Lagrange’s theorem on expressing every natural number as a sum of four squares and the impossibility of trisecting an angle (using ruler and compass). In modern times, computer scientists began to in- vestigate as to what functions can be (efficiently) computed. Polynomials being a natural class of functions, one is naturally lead to the following question: What is the optimum way to compute a given (family of) polynomial(s)? Now the most natural way to compute a polynomial f(x1; x2; : : : ; xn) over a field F is to start with the input variables x1; x2; : : : ; xn and then apply a sequence of basic operations such as additions, subtractions and multiplications1 in order to obtain the desired polynomial f. Such a computa- tion is called a straight line program. We often represent such a straight-line program graphically as an arithmetic circuit - wherein the overall computation corresponds to a directed acylic graph whose source nodes are labelled with the input variables fx1; x2; : : : ; xng and the internal nodes are labelled with either + or × (each internal node corresponds to one computational step in the straight-line program). -
Decomposition, Approximation, and Coloring of Odd-Minor-Free Graphs
Decomposition, Approximation, and Coloring of Odd-Minor-Free Graphs Erik D. Demaine∗ MohammadTaghi Hajiaghayiy Ken-ichi Kawarabayashiz Abstract between the pieces. For example, many optimization prob- We prove two structural decomposition theorems about graphs ex- lems can be solved exactly on graphs of bounded treewidth; cluding a fixed odd minor H, and show how these theorems can what graphs can be partitioned into a small number k of be used to obtain approximation algorithms for several algorithmic bounded-treewidth pieces? In many cases, each piece gives problems in such graphs. Our decomposition results provide new a lower/upper bound on the optimal solution for the entire structural insights into odd-H-minor-free graphs, on the one hand graph, so solving the problem exactly in each piece gives a generalizing the central structural result from Graph Minor The- k-approximation to the problem. Such a decomposition into ory, and on the other hand providing an algorithmic decomposition bounded-treewidth graphs would also be practical, as many into two bounded-treewidth graphs, generalizing a similar result for NP-hard optimization problems are now solved in practice minors. As one example of how these structural results conquer dif- using dynamic programming on low-treewidth graphs; see, ficult problems, we obtain a polynomial-time 2-approximation for e.g., [Bod05, Ami01, Tho98]. Recently, this decomposi- vertex coloring in odd-H-minor-free graphs, improving on the pre- tion approach has been successfully used for graph coloring, 1−" vious O(jV (H)j)-approximation for such graphs and generalizing which is inapproximable within n for any " > 0 unless the previous 2-approximation for H-minor-free graphs. -
Mathematisches Forschungsinstitut Oberwolfach Complexity Theory
Mathematisches Forschungsinstitut Oberwolfach Report No. 54/2015 DOI: 10.4171/OWR/2015/54 Complexity Theory Organised by Peter B¨urgisser, Berlin Oded Goldreich, Rehovot Madhu Sudan, Cambridge MA Salil Vadhan, Cambridge MA 15 November – 21 November 2015 Abstract. Computational Complexity Theory is the mathematical study of the intrinsic power and limitations of computational resources like time, space, or randomness. The current workshop focused on recent developments in various sub-areas including arithmetic complexity, Boolean complexity, communication complexity, cryptography, probabilistic proof systems, pseu- dorandomness and randomness extraction. Many of the developments are related to diverse mathematical fields such as algebraic geometry, combinato- rial number theory, probability theory, representation theory, and the theory of error-correcting codes. Mathematics Subject Classification (2010): 68-06, 68Q01, 68Q10, 68Q15, 68Q17, 68Q25, 94B05, 94B35. Introduction by the Organisers The workshop Complexity Theory was organized by Peter B¨urgisser (TU Berlin), Oded Goldreich (Weizmann Institute), Madhu Sudan (Harvard), and Salil Vadhan (Harvard). The workshop was held on November 15th–21st 2015, and attended by approximately 50 participants spanning a wide range of interests within the field of Computational Complexity. The plenary program, attended by all participants, featured fifteen long lectures and five short (8-minute) reports by students and postdocs. In addition, intensive interaction took place in smaller groups. The Oberwolfach Meeting on Complexity Theory is marked by a long tradition and a continuous transformation. Originally starting with a focus on algebraic and Boolean complexity, the meeting has continuously evolved to cover a wide variety 3050 Oberwolfach Report 54/2015 of areas, most of which were not even in existence at the time of the first meeting (in 1972). -
Leakage-Resilience of the Shamir Secret-Sharing Scheme Against Physical-Bit Leakages
Leakage-resilience of the Shamir Secret-sharing Scheme against Physical-bit Leakages Hemanta K. Maji?, Hai H. Nguyen?, Anat Paskin-Cherniavsky??, Tom Suad??, and Mingyuan Wang? Abstract. Efficient Reed-Solomon code reconstruction algorithms, for example, by Guruswami and Wootters (STOC–2016), translate into local leakage attacks on Shamir secret-sharing schemes over characteristic-2 fields. However, Benhamouda, Degwekar, Ishai, and Rabin (CRYPTO– 2018) showed that the Shamir secret sharing scheme over prime-fields is leakage resilient to one-bit local leakage if the reconstruction threshold is roughly 0:87 times the total number of parties. In several applica- tion scenarios, like secure multi-party multiplication, the reconstruction threshold must be at most half the number of parties. Furthermore, the number of leakage bits that the Shamir secret sharing scheme is resilient to is also unclear. Towards this objective, we study the Shamir secret-sharing scheme’s leakage-resilience over a prime-field F . The parties’ secret-shares, which are elements in the finite field F , are naturally represented as λ-bit bi- nary strings representing the elements f0; 1; : : : ; p − 1g. In our leakage model, the adversary can independently probe m bit-locations from each secret share. The inspiration for considering this leakage model stems from the impact that the study of oblivious transfer combiners had on general correlation extraction algorithms, and the significant influence of protecting circuits from probing attacks has on leakage-resilient secure computation. Consider arbitrary reconstruction threshold k ≥ 2, physical bit-leakage parameter m ≥ 1, and the number of parties n ≥ 1. We prove that Shamir’s secret-sharing scheme with random evaluation places is leakage- resilient with high probability when the order of the field F is sufficiently large; ignoring polylogarithmic factors, one needs to ensure that log jF j ≥ n=k. -
SPECIAL ISSUE in HONOR of GEOFF WHITTLE Geoff Whittle Turned 60 in 2010. to Mark
SPECIAL ISSUE IN HONOR OF GEOFF WHITTLE DILLON MAYHEW, JAMES OXLEY, AND CHARLES SEMPLE Geoff Whittle turned 60 in 2010. To mark this occasion, this special issue (guest- edited by Dillon Mayhew and Charles Semple) aims to recognize and celebrate his mathematical contributions. Perhaps surprisingly, we can confidently say that Ge- off’s best work lies ahead of him, for some of the most significant results from his longstanding collaboration with Jim Geelen and Bert Gerards have been announced, but not yet published. This collaboration has produced matroid analogues of the well-quasi-ordering results from Robertson and Seymour’s monumental Graph Mi- nors Project. In addition, it is anticipated that Rota’s conjecture, a problem long considered to be one of the most difficult in discrete mathematics, will also be set- tled by Jim, Bert, and Geoff. It is already clear that their work deserves to be ranked alongside that of W. T. Tutte and Paul Seymour as the most significant ever done in matroid theory. In this preface, we will introduce matroids after giving some biographical details of Geoff’s life. Our main task is to give a brief description of Geoff’s contributions to the development of matroid theory. 1. Brief Biography Geoff was born in 1950 in Launceston, a city in northern Tasmania, Australia. He completed high school in Launceston in 1968, and, in the following year, he worked as a miner in Tasmania, Western Australia, and the Northern Territory before leaving to travel through Asia and Europe. In 1971, he enrolled at the University of Tasmania, graduating in 1973 with a bachelor’s degree in Philosophy and Mathematics.