Optimization Algorithms on Matrix Manifolds (Absil P. -A)(Pevná vazba)

Optimization Algorithms on Matrix Manifolds (Absil P. -A)(Pevná vazba)

Many problems in the sciences and engineering can be rephrased as optimization problems on matrix search spaces endowed with a so-called manifold structure. This book shows how to exploit the special structure of such problems to develop efficient numerical algorithms. It places careful emphasis on

Algorithms for Optimization (Kochenderfer Mykel J.)(Pevná vazba)

A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems.This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the

Optimization Models (Calafiore Giuseppe C.)(Pevná vazba)

Emphasizing practical understanding over the technicalities of specific algorithms, this elegant textbook is an accessible introduction to the field of optimization, focusing on powerful and reliable convex optimization techniques. Students and practitioners will learn how to recognize, simplify,

Robust Optimization (Ben-Tal Aharon)(Pevná vazba)

Robust optimization is still a relatively new approach to optimization problems affected by uncertainty, but it has already proved so useful in real applications that it is difficult to tackle such problems today without considering this powerful methodology. Written by the principal developers of

Convex Optimization (Boyd Stephen)(Pevná vazba)

Introduction to Topological Manifolds (Lee John)(Pevná vazba)

This book is an introduction to manifolds at the beginning graduate level, and accessible to any student who has completed a solid undergraduate degree in mathematics. It contains the essential topological ideas that are needed for the further study of manifolds, particularly in the context of

Opt Art: From Mathematical Optimization to Visual Design (Bosch Robert)(Pevná vazba)

A fun and stunningly illustrated introduction to the art of linear optimization Linear optimization is a powerful modeling method for discovering the best solution to a problem among a set of available alternatives. It is one of today's most important branches of mathematics and computer

Introduction to Applied Optimization (Diwekar Urmila M.)(Pevná vazba)

1. Introduction.- 2. Linear Programming.- 3. Nonlinear Programming.-4. Discrete Optimization.- 5. Optimization Under Uncertainty.- 6. Multiobjective Optimization.- 7.Optimal Control and Dynamic Optimization.-

Advanced Optimization for Process Systems Engineering (Grossmann Ignacio E.)(Pevná vazba)

Linear and Nonlinear Optimization (Cottle Richard W.)(Pevná vazba)

​This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in operations research and related fields. It is both literate and mathematically strong, yet requires no prior course in optimization. As suggested by its title, the book is divided

Optimization in Chemical Engineering (Dutta Suman)(Pevná vazba)

Optimization is used to determine the most appropriate value of variables under given conditions. The primary focus of using optimisation techniques is to measure the maximum or minimum value of a function depending on the circumstances. This book discusses problem formulation and problem solving

Introduction to Unconstrained Optimization with R (Mishra Shashi Kant)(Pevná vazba)

This book discusses unconstrained optimization with R--a free, open-source computing environment, which works on several platforms, including Windows, Linux, and macOS. The book highlights methods such as the steepest descent method, Newton method, conjugate direction method, conjugate gradient

Convex Optimization of Power Systems (Taylor Joshua Adam)(Pevná vazba)

Optimization is ubiquitous in power system engineering. Drawing on powerful, modern tools from convex optimization, this rigorous exposition introduces essential techniques for formulating linear, second-order cone, and semidefinite programming approximations to the canonical optimal power flow

The Evaluation and Optimization of Trading Strategies (Pardo Robert)(Pevná vazba)

A newly expanded and updated edition of the trading classic, Design, Testing, and Optimization of Trading Systems Trading systems expert Robert Pardo is back, and in The Evaluation and Optimization of Trading Strategies, a thoroughly revised and updated edition of his classic text Design, Testing,

Real-World Algorithms: A Beginner's Guide (Louridas Panos)(Pevná vazba)

An introduction to algorithms for readers with no background in advanced mathematics or computer science, emphasizing examples and real-world problems.Algorithms are what we do in order not to have to do something. Algorithms consist of instructions to carry out tasks--usually dull, repetitive

Structure-Preserving Algorithms for Oscillatory Differential Equations (Wu Xinyuan)(Pevná vazba)

Structure-Preserving Algorithms for Oscillatory Differential Equations describes a large number of highly effective and efficient structure-preserving algorithms for second-order oscillatory differential equations by using theoretical analysis and numerical validation. Structure-preserving

Machine Trading: Deploying Computer Algorithms to Conquer the Markets (Chan Ernest P.)(Pevná vazba)

Dive into algo trading with step-by-step tutorials and expert insight Machine Trading is a practical guide to building your algorithmic trading business. Written by a recognized trader with major institution expertise, this book provides step-by-step instruction on quantitative trading and the

Design and Optimization of Thermal Systems, Third Edition: With MATLAB Applications (Jaluria Yogesh)(Pevná vazba)

Design and Optimization of Thermal Systems, Third Edition: with MATLAB(R) Applications provides systematic and efficient approaches to the design of thermal systems, which are of interest in a wide range of applications. It presents basic concepts and procedures for conceptual design, problem

The Art of Computer Programming: Volume 1: Fundamental Algorithms (Knuth Donald)(Pevná vazba)

Beyond the Worst-Case Analysis of Algorithms (Roughgarden Tim)(Pevná vazba)

Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new

Distributed Algorithms, Second Edition: An Intuitive Approach (Fokkink Wan)(Pevná vazba)

The new edition of a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models.This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of

Adaptive Business Intelligence (Michalewicz Zbigniew)(Pevná vazba)

Adaptive business intelligence systems combine prediction and optimization techniques to assist decision makers in complex, rapidly changing environments. These systems address the fundamental questions: What is likely to happen in the future? What is the best course of action? Adaptive Business

Algorithms to Live by: The Computer Science of Human Decisions (Christian Brian)(Pevná vazba)

A fascinating exploration of how insights from computer algorithms can be applied to our everyday lives, helping to solve common decision-making problems and illuminate the workings of the human mind All our lives are constrained by limited space and time, limits that give rise to a particular set

Image Texture Analysis: Foundations, Models and Algorithms (Hung Chih-Cheng)(Pevná vazba)

Part I: Existing Models and Algorithms for Image Texture Image Texture, Texture Features, and Image Texture Classification and Segmentation Texture Features and Image Texture Models Algorithms for Image Texture Classification Dimensionality Reduction and Sparse Representation Part II: The K-Views