Numerical Methods For Probabilistic Constrained Optimization Problem Where Random Variables Have Degenerate Continuous Distribution
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Author | : Reuven Y. Rubinstein |
Publisher | : Springer Science & Business Media |
Total Pages | : 316 |
Release | : 2013-03-09 |
Genre | : Computers |
ISBN | : 1475743211 |
Rubinstein is the pioneer of the well-known score function and cross-entropy methods. Accessible to a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyone, theorist and practitioner, who is interested in smart simulation, fast optimization, learning algorithms, and image processing.
Author | : Justin Solomon |
Publisher | : CRC Press |
Total Pages | : 400 |
Release | : 2015-06-24 |
Genre | : Computers |
ISBN | : 1482251892 |
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig
Author | : Jorge Nocedal |
Publisher | : Springer Science & Business Media |
Total Pages | : 686 |
Release | : 2006-12-11 |
Genre | : Mathematics |
ISBN | : 0387400656 |
Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.
Author | : Marc Mézard |
Publisher | : Oxford University Press |
Total Pages | : 584 |
Release | : 2009-01-22 |
Genre | : Computers |
ISBN | : 019857083X |
A very active field of research is emerging at the frontier of statistical physics, theoretical computer science/discrete mathematics, and coding/information theory. This book sets up a common language and pool of concepts, accessible to students and researchers from each of these fields.
Author | : Gerard Cornuejols |
Publisher | : Cambridge University Press |
Total Pages | : 358 |
Release | : 2006-12-21 |
Genre | : Mathematics |
ISBN | : 9780521861700 |
Optimization models play an increasingly important role in financial decisions. This is the first textbook devoted to explaining how recent advances in optimization models, methods and software can be applied to solve problems in computational finance more efficiently and accurately. Chapters discussing the theory and efficient solution methods for all major classes of optimization problems alternate with chapters illustrating their use in modeling problems of mathematical finance. The reader is guided through topics such as volatility estimation, portfolio optimization problems and constructing an index fund, using techniques such as nonlinear optimization models, quadratic programming formulations and integer programming models respectively. The book is based on Master's courses in financial engineering and comes with worked examples, exercises and case studies. It will be welcomed by applied mathematicians, operational researchers and others who work in mathematical and computational finance and who are seeking a text for self-learning or for use with courses.
Author | : Ding-Zhu Du |
Publisher | : Springer Science & Business Media |
Total Pages | : 277 |
Release | : 2013-03-14 |
Genre | : Mathematics |
ISBN | : 1475757956 |
This book provides an introduction to the mathematical theory of optimization. It emphasizes the convergence theory of nonlinear optimization algorithms and applications of nonlinear optimization to combinatorial optimization. Mathematical Theory of Optimization includes recent developments in global convergence, the Powell conjecture, semidefinite programming, and relaxation techniques for designs of approximation solutions of combinatorial optimization problems.
Author | : Mordecai Avriel |
Publisher | : SIAM |
Total Pages | : 342 |
Release | : 2010-11-25 |
Genre | : Mathematics |
ISBN | : 0898718961 |
Originally published: New York: Plenum Press, 1988.
Author | : Massimiliano Di Ventra |
Publisher | : Oxford University Press |
Total Pages | : 320 |
Release | : 2022-02-21 |
Genre | : Mathematics |
ISBN | : 0192659898 |
MemComputing is a new computing paradigm that employs time non-locality (memory) to both process and store information. This book, written by the originator of this paradigm, explains the main ideas behind MemComputing, explores its theoretical foundations, and shows its applicability to a wide variety of combinatorial optimization problems, machine learning, and quantum mechanics. The book is ideal for graduate students in Physics, Computer Science, Electrical Engineering, and Mathematics, as well as researchers in both academia and industry interested in unconventional computing. The author relies on extensive margin notes, important remarks, and many illustrations to better explain the main concepts and clarify jargon, making the book as self-contained as possible. The reader will be guided from the basic notions to the more advanced ones with an always clear and engaging writing style. Along the way, the reader will appreciate the advantages of this computing paradigm and the major differences that set it apart from the prevailing Turing model of computation, and even quantum computing.
Author | : Erwin Kreyszig |
Publisher | : John Wiley & Sons |
Total Pages | : 1280 |
Release | : 2020-07-21 |
Genre | : Mathematics |
ISBN | : 1119455928 |
A mathematics resource for engineering, physics, math, and computer science students The enhanced e-text, Advanced Engineering Mathematics, 10th Edition, is a comprehensive book organized into six parts with exercises. It opens with ordinary differential equations and ends with the topic of mathematical statistics. The analysis chapters address: Fourier analysis and partial differential equations, complex analysis, and numeric analysis. The book is written by a pioneer in the field of applied mathematics.
Author | : Chinyere Okechi Onwubiko |
Publisher | : Prentice Hall |
Total Pages | : 328 |
Release | : 2000 |
Genre | : Mathematics |
ISBN | : |
Engineering Design Optimization is written for students who are looking to optimize their engineering designs, but are unaware of the mathematical rigor needed to address their objectives. This book addresses teaches the algorithms that are used in engineering optimization. Contains unique material on monotonicity, probabalistic design optimization, and genetic algorithms. Keeps mathematics simple, but proves theories as needed. Provides algorithms essential for optimization and encourages students to write their own computer programs.