This book provides the first systematic treatment of model risk, outlining the tools needed to quantify model uncertaint......more
The book presents a graduate level, rigorous, and self-contained introduction to linear optimization (LO), the presented......more
The book presents a graduate level, rigorous, and self-contained introduction to linear optimization (LO), the presented......more
This book is a comprehensive collection of the main mathematical concepts, including definitions, theorems, tables, and ......more
Optimization should be the science of making the best possible decisions. Making decisions is a virtually universal huma......more
The primary goal of this text is a practical one. Equipping students with enough knowledge and creating an independent r......more
A Simple Method for Predicting Covariance Matrices of Financial Returns makes three contributions. First, it proposes a ......more
Nonparametric kernel estimators apply to the statistical analysis of independent or dependent sequences of random variab......more
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The modern era is witnessing a revolution in the ability to scale computations to massively large data sets. A key break......more
Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deploy......more
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This book in two volumes provides an overview of continuous, discrete and functional optimization techniques. This first......more
This book in two volumes provides an overview of continuous, discrete and functional optimization techniques....more
This book presents an innovative approach to extrapolating the simulated annealing convergence theory onto the simple ge......more
This book presents an innovative approach to extrapolating the simulated annealing convergence theory onto the simple ge......more
This book is devoted to the study of two large classes of discrete-time optimal control problems arising in mathematical......more
This book presents a novel approach to the evaluation and dealing with uncertainties of parameters and processes in tech......more
Presently, the exploration of the applications of different techniques and tools of number theory and mathematical analy......more
This book addresses the mathematical and the practical aspects of motion implied by advanced control theory. The richnes......more
Many applications, including computer vision, computer arithmetic, deep learning, entanglement in quantum information, g......more
This book looks at what measures we can put in place to check corruption during procurement and what good governance str......more
The SQH method is a powerful computational methodology that is capable of development in many directions. This book disc......more
How to design an efficient and cost-effective logistics network? How to plan procurement, production, and transportation......more
Semidefinite programming is a class of optimisation problem with application in physics, engineering and mathematics It ......more
This textbook offers a guided tutorial that reviews the theoretical fundamentals while going through the practical examp......more
Master the basics of quantum physics in a simple way without feeling overwhelmed by complex math! Do you want to know th......more
Master the basics of quantum physics in a simple way without feeling overwhelmed by complex math! Do you want to know th......more
This book is a scientific basis for understanding the urgent need for a Great Transformation to a third step in social e......more
Learn the principles of quantum machine learning and how to apply them While focus is on financial use cases, all the me......more
The most interesting issues in environmental and resource economics have an explicit temporal dimension, since variables......more
The most interesting issues in environmental and resource economics have an explicit temporal dimension, since variables......more
VARIATIONAL CALCULUS WITH ENGINEERING APPLICATIONS A comprehensive overview of foundational variational methods for prob......more
This book covers an introduction to convex optimization, one of the powerful and tractable optimization problems that ca......more
Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. S......more
"This book is the first systematic investigation and analysis of batch state estimators and recursive forms. It begins b......more
This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually ......more
This book is devoted to the study of two large classes of discrete-time optimal control problems arising in mathematical......more
The continuous miniaturization of integrated circuit (IC) chips and the increase in the sleekness of the design of elect......more
This title is part of UC Press’s Voices Revived program, which commemorates University of California Press’s mission to ......more
This title is part of UC Press’s Voices Revived program, which commemorates University of California Press’s mission to ......more
The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long ......more
The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long ......more
This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancement......more
Advancements in the technology and availability of data sources have led to the Big Data’ era. Working with large data o......more
Public-Private Partnerships (PPP or 3Ps) allow the public sector to seek alternative funding and expertise from the priv......more
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Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deploy......more
This book is devoted to the study of classes of optimal control problems arising in economic growth theory, related to t......more
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Two approaches are known for solving large-scale unconstrained optimization problems--the limited-memory quasi-Newton me......more
This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of math......more
Praise for the First Edition "If you ... want an up-to-date, definitive reference written by authors who have contribute......more
This book is an updated and extended version of Completely Positive Matrices (Abraham Berman and Naomi Shaked-Monderer, ......more
Neural networks have been widely used in many applications, such as image classification and understanding, language pro......more
Optimization is the act of obtaining the "best" result under given circumstances. In design, construction, and maintenan......more
Many of the modern techniques to solve supervised learning problems suffer from a lack of interpretability and analyzabi......more
The relaxation method has enjoyed an intensive development during many decades and this new edition of this comprehensiv......more
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The Moment-SOS hierarchy is a powerful methodology that is used to solve the Generalized Moment Problem (GMP) where the ......more
Structured around Bishop’s six fundamental mathematical activities, this book brings together examples of mathematics ed......more
Structured around Bishop’s six fundamental mathematical activities, this book brings together examples of mathematics ed......more
We know very little about the time-evolution of many-particle dynamical systems, the subject of our book. Even the 3-bod......more
Two approaches are known for solving large-scale unconstrained optimization problems--the limited-memory quasi-Newton me......more
Volume 2 applies the linear algebra concepts presented in Volume 1 to optimization problems which frequently occur throu......more
The theory of multivalued maps and the theory of differential inclusions are closely connected and intensively developin......more
Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective reports and encourages technology transfer......more
This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, r......more
This book provides the mathematical fundamentals of linear algebra to practicers in computer vision, machine learning, r......more
The book provides a self-contained and systematic treatment of algebraic and topological properties of convex sets in th......more
The book provides a self-contained and systematic treatment of algebraic and topological properties of convex sets in th......more
Discrete Graphical Models -- An Optimization Perspective is about discrete energy minimization for discrete graphical mo......more
This book reviews the fundamentals, background and theoretical concepts of optimization principles in a comprehensive ma......more
A fun and lively look at the mathematical ideas concealed in video games Did you know that every time you pick up the co......more
The volume provides information on the career and life of Marida Bertocchi, and is representative of her broad research ......more
This book is devoted to the study of optimal control problems arising in forest management, an important and fascinating......more
This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are defined ......more
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This textbook is rich with real-life data sets, uses RStudio to streamline computations, builds "big picture" conceptual......more
This textbook is rich with real-life data sets, uses RStudio to streamline computations, builds "big picture" conceptual......more
A simple algorithm for solving a set of nonlinear equations by matrix algebra has been discovered recently -- first by t......more
A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, ......more
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Mathematically, most of the interesting optimization problems can be formulated to optimize some objective function, sub......more
Index tracking is a very popular passive investment strategy. Since an index cannot be traded directly, index tracking r......more
This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in oper......more
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Slater’s condition - existence of a "strictly feasible solution" - is a common assumption in conic optimization. Without......more
Broadly speaking, there are two general approaches to teaching mathematical modeling: 1) the case study approach, and 2)......more