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Model Risk Management: Risk Bounds Under Uncertainty

Model Risk Management: Risk Bounds Under Uncertainty

This book provides the first systematic treatment of model risk, outlining the tools needed to quantify model uncertaint......more

Introduction to Linear Optimization

Introduction to Linear Optimization

The book presents a graduate level, rigorous, and self-contained introduction to linear optimization (LO), the presented......more

Introduction to Linear Optimization

Introduction to Linear Optimization

The book presents a graduate level, rigorous, and self-contained introduction to linear optimization (LO), the presented......more

Handbook of Mathematical Concepts and Formulas for Students in Science and Engineering

Handbook of Mathematical Concepts and Formulas for Students in Science and Engineering

This book is a comprehensive collection of the main mathematical concepts, including definitions, theorems, tables, and ......more

A Modern Approach to Teaching an Introduction to Optimization

A Modern Approach to Teaching an Introduction to Optimization

Optimization should be the science of making the best possible decisions. Making decisions is a virtually universal huma......more

An Introduction to Optimization with Applications in Machine Learning and Data Analytics

An Introduction to Optimization with Applications in Machine Learning and Data Analytics

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

A Simple Method for Predicting Covariance Matrices of Financial Returns

A Simple Method for Predicting Covariance Matrices of Financial Returns makes three contributions. First, it proposes a ......more

Functional Estimation for Density, Regression Models and Processes (Second Edition)

Functional Estimation for Density, Regression Models and Processes (Second Edition)

Nonparametric kernel estimators apply to the statistical analysis of independent or dependent sequences of random variab......more

Massively Parallel Computation: Algorithms and Applications

Massively Parallel Computation: Algorithms and Applications

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

Metaheuristics for Resource Deployment Under Uncertainty in Complex Systems

Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deploy......more

Optimization Techniques - Tome I: Continuous Optimization

Optimization Techniques - Tome I: Continuous Optimization

This book in two volumes provides an overview of continuous, discrete and functional optimization techniques. This first......more

Optimization Techniques - Tome II: Discrete and Functional Optimization

Optimization Techniques - Tome II: Discrete and Functional Optimization

This book in two volumes provides an overview of continuous, discrete and functional optimization techniques....more

Toward an Extrapolation of the Simulated Annealing Convergence Theory Onto the Simple Genetic Algorithm

Toward an Extrapolation of the Simulated Annealing Convergence Theory Onto the Simple Genetic Algorithm

This book presents an innovative approach to extrapolating the simulated annealing convergence theory onto the simple ge......more

Toward an Extrapolation of the Simulated Annealing Convergence Theory Onto the Simple Genetic Algorithm

Toward an Extrapolation of the Simulated Annealing Convergence Theory Onto the Simple Genetic Algorithm

This book presents an innovative approach to extrapolating the simulated annealing convergence theory onto the simple ge......more

Optimal Control Problems Arising in Mathematical Economics

Optimal Control Problems Arising in Mathematical Economics

This book is devoted to the study of two large classes of discrete-time optimal control problems arising in mathematical......more

Analytical Evaluation of Uncertainty Propagation for Probabilistic Design Optimisation

Analytical Evaluation of Uncertainty Propagation for Probabilistic Design Optimisation

This book presents a novel approach to the evaluation and dealing with uncertainties of parameters and processes in tech......more

Advances in Number Theory and Applied Analysis

Advances in Number Theory and Applied Analysis

  • Ingram,出版日期:2023-06-13

Presently, the exploration of the applications of different techniques and tools of number theory and mathematical analy......more

Motion Control: Multi-Faceted Movement in Space, Time and Neurological Impairment

Motion Control: Multi-Faceted Movement in Space, Time and Neurological Impairment

This book addresses the mathematical and the practical aspects of motion implied by advanced control theory. The richnes......more

Sparse Polynomial Optimization: Theory and Practice

Sparse Polynomial Optimization: Theory and Practice

Many applications, including computer vision, computer arithmetic, deep learning, entanglement in quantum information, g......more

The Sequential Quadratic Hamiltonian Method: Solving Optimal Control Problems

The Sequential Quadratic Hamiltonian Method: Solving Optimal Control Problems

The SQH method is a powerful computational methodology that is capable of development in many directions. This book disc......more

Optimization Modeling for Supply Chain Applications

Optimization Modeling for Supply Chain Applications

How to design an efficient and cost-effective logistics network? How to plan procurement, production, and transportation......more

Semi-Definite Programming in Quantum Information Science

Semi-Definite Programming in Quantum Information Science

Semidefinite programming is a class of optimisation problem with application in physics, engineering and mathematics It ......more

Computational Optimization

Computational Optimization

This textbook offers a guided tutorial that reviews the theoretical fundamentals while going through the practical examp......more

Quantum Physics for Beginners: Easy & Complete Guide to Knowing the Fundamentals of Quantum Physics

Quantum Physics for Beginners: Easy & Complete Guide to Knowing the Fundamentals of Quantum Physics

Master the basics of quantum physics in a simple way without feeling overwhelmed by complex math! Do you want to know th......more

Quantum Physics for Beginners: Easy & Complete Guide to Knowing the Fundamentals of Quantum Physics

Quantum Physics for Beginners: Easy & Complete Guide to Knowing the Fundamentals of Quantum Physics

Master the basics of quantum physics in a simple way without feeling overwhelmed by complex math! Do you want to know th......more

Logic of the Third, The: A Paradigm Shift to a Shared Future for Humanity

Logic of the Third, The: A Paradigm Shift to a Shared Future for Humanity

This book is a scientific basis for understanding the urgent need for a Great Transformation to a third step in social e......more

Quantum Machine Learning and Optimisation in Finance: On the Road to Quantum Advantage

Quantum Machine Learning and Optimisation in Finance: On the Road to Quantum Advantage

Learn the principles of quantum machine learning and how to apply them While focus is on financial use cases, all the me......more

Advanced Mathematical Methods in Environmental and Resource Economics

Advanced Mathematical Methods in Environmental and Resource Economics

The most interesting issues in environmental and resource economics have an explicit temporal dimension, since variables......more

Advanced Mathematical Methods in Environmental and Resource Economics

Advanced Mathematical Methods in Environmental and Resource Economics

The most interesting issues in environmental and resource economics have an explicit temporal dimension, since variables......more

Variational Calculus with Engineering Applications

Variational Calculus with Engineering Applications

VARIATIONAL CALCULUS WITH ENGINEERING APPLICATIONS A comprehensive overview of foundational variational methods for prob......more

Convex Optimization for Machine Learning

Convex Optimization for Machine Learning

This book covers an introduction to convex optimization, one of the powerful and tractable optimization problems that ca......more

Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications

Handbook of Moth-Flame Optimization Algorithm: Variants, Hybrids, Improvements, and Applications

  • Ingram,出版日期:2022-09-20

Moth-Flame Optimization algorithm is an emerging meta-heuristic and has been widely used in both science and industry. S......more

Optimal and Robust State Estimation: Finite Impulse Response (Fir) and Kalman Approaches

Optimal and Robust State Estimation: Finite Impulse Response (Fir) and Kalman Approaches

"This book is the first systematic investigation and analysis of batch state estimators and recursive forms. It begins b......more

Optimization Modelling Using R

Optimization Modelling Using R

This book covers using R for doing optimization, a key area of operations research, which has been applied to virtually ......more

Optimal Control Problems Arising in Mathematical Economics

Optimal Control Problems Arising in Mathematical Economics

This book is devoted to the study of two large classes of discrete-time optimal control problems arising in mathematical......more

Mathematical Optimization Techniques

Mathematical Optimization Techniques

  • Ingram,出版日期:2022-05-27

This title is part of UC Press’s Voices Revived program, which commemorates University of California Press’s mission to ......more

Mathematical Optimization Techniques

Mathematical Optimization Techniques

  • Ingram,出版日期:2022-05-27

This title is part of UC Press’s Voices Revived program, which commemorates University of California Press’s mission to ......more

Classical and Modern Optimization

Classical and Modern Optimization

The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long ......more

Classical and Modern Optimization

Classical and Modern Optimization

The quest for the optimal is ubiquitous in nature and human behavior. The field of mathematical optimization has a long ......more

Applications of Advanced Optimization Techniques in Industrial Engineering

Applications of Advanced Optimization Techniques in Industrial Engineering

This book provides different approaches used to analyze, draw attention, and provide an understanding of the advancement......more

Stochastic Optimization for Large-Scale Machine Learning

Stochastic Optimization for Large-Scale Machine Learning

Advancements in the technology and availability of data sources have led to the Big Data’ era. Working with large data o......more

Metaheuristics for Resource Deployment Under Uncertainty in Complex Systems

Metaheuristics for Resource Deployment Under Uncertainty in Complex Systems

Metaheuristics for Resource Deployment under Uncertainty in Complex Systems analyzes how to set locations for the deploy......more

Optimal Control Problems Related to the Robinson-Solow-Srinivasan Model

Optimal Control Problems Related to the Robinson-Solow-Srinivasan Model

This book is devoted to the study of classes of optimal control problems arising in economic growth theory, related to t......more

Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Two approaches are known for solving large-scale unconstrained optimization problems--the limited-memory quasi-Newton me......more

Introduction to Continuous Optimization

Introduction to Continuous Optimization

This self-contained monograph presents the reader with an authoritative view of Continuous Optimization, an area of math......more

Experiments: Planning, Analysis, and Optimization

Experiments: Planning, Analysis, and Optimization

Praise for the First Edition "If you ... want an up-to-date, definitive reference written by authors who have contribute......more

Copositive Matrices and Completely Positive Matrices: C(o)P Matrices

Copositive Matrices and Completely Positive Matrices: C(o)P Matrices

This book is an updated and extended version of Completely Positive Matrices (Abraham Berman and Naomi Shaked-Monderer, ......more

Algorithms for Verifying Deep Neural Networks

Algorithms for Verifying Deep Neural Networks

Neural networks have been widely used in many applications, such as image classification and understanding, language pro......more

Nonlinear Optimization: Models and Applications

Nonlinear Optimization: Models and Applications

Optimization is the act of obtaining the "best" result under given circumstances. In design, construction, and maintenan......more

Distributionally Robust Learning

Distributionally Robust Learning

Many of the modern techniques to solve supervised learning problems suffer from a lack of interpretability and analyzabi......more

Relaxation in Optimization Theory and Variational Calculus

Relaxation in Optimization Theory and Variational Calculus

The relaxation method has enjoyed an intensive development during many decades and this new edition of this comprehensiv......more

Mathematics in Early Childhood: Research, Reflexive Practice and Innovative Pedagogy

Mathematics in Early Childhood: Research, Reflexive Practice and Innovative Pedagogy

Structured around Bishop’s six fundamental mathematical activities, this book brings together examples of mathematics ed......more

Mathematics in Early Childhood: Research, Reflexive Practice and Innovative Pedagogy

Mathematics in Early Childhood: Research, Reflexive Practice and Innovative Pedagogy

Structured around Bishop’s six fundamental mathematical activities, this book brings together examples of mathematics ed......more

Equidistribution of Dynamical Systems: Time-Quantitative Second Law

Equidistribution of Dynamical Systems: Time-Quantitative Second Law

We know very little about the time-evolution of many-particle dynamical systems, the subject of our book. Even the 3-bod......more

Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Nonlinear Conjugate Gradient Methods for Unconstrained Optimization

Two approaches are known for solving large-scale unconstrained optimization problems--the limited-memory quasi-Newton me......more

Multivalued Maps and Differential Inclusions: Elements of Theory and Applications

Multivalued Maps and Differential Inclusions: Elements of Theory and Applications

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

Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective

Cooperative Control of Multi-Agent Systems: An Optimal and Robust Perspective reports and encourages technology transfer......more

Lectures on Convex Sets: Second Edition

Lectures on Convex Sets: Second Edition

The book provides a self-contained and systematic treatment of algebraic and topological properties of convex sets in th......more

Lectures on Convex Sets: Second Edition

Lectures on Convex Sets: Second Edition

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

Discrete Graphical Models: An Optimization Perspective

Discrete Graphical Models -- An Optimization Perspective is about discrete energy minimization for discrete graphical mo......more

Modern Optimization Methods for Science, Engineering and Technology

Modern Optimization Methods for Science, Engineering and Technology

  • Ingram,出版日期:2019-11-20

This book reviews the fundamentals, background and theoretical concepts of optimization principles in a comprehensive ma......more

Power-Up: Unlocking the Hidden Mathematics in Video Games

Power-Up: Unlocking the Hidden Mathematics in Video Games

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

Collected Works of Professor Marida Bertocchi

Collected Works of Professor Marida Bertocchi

The volume provides information on the career and life of Marida Bertocchi, and is representative of her broad research ......more

Optimal Control Problems Arising in Forest Management

Optimal Control Problems Arising in Forest Management

This book is devoted to the study of optimal control problems arising in forest management, an important and fascinating......more

Introduction to Uncertainty Quantification

Introduction to Uncertainty Quantification

This text provides a framework in which the main objectives of the field of uncertainty quantification (UQ) are defined ......more

Mathematical Modeling and Applied Calculus

Mathematical Modeling and Applied Calculus

This textbook is rich with real-life data sets, uses RStudio to streamline computations, builds "big picture" conceptual......more

Mathematical Modeling and Applied Calculus

Mathematical Modeling and Applied Calculus

This textbook is rich with real-life data sets, uses RStudio to streamline computations, builds "big picture" conceptual......more

Optimization in an Acorn: With Applications to Deep Learning

Optimization in an Acorn: With Applications to Deep Learning

A simple algorithm for solving a set of nonlinear equations by matrix algebra has been discovered recently -- first by t......more

Optimization Techniques and Applications with Examples

Optimization Techniques and Applications with Examples

A guide to modern optimization applications and techniques in newly emerging areas spanning optimization, data science, ......more

Optimization Theory: A Concise Introduction

Optimization Theory: A Concise Introduction

Mathematically, most of the interesting optimization problems can be formulated to optimize some objective function, sub......more

Optimization Methods for Financial Index Tracking: From Theory to Practice

Optimization Methods for Financial Index Tracking: From Theory to Practice

Index tracking is a very popular passive investment strategy. Since an index cannot be traded directly, index tracking r......more

Linear and Nonlinear Optimization

Linear and Nonlinear Optimization

​This textbook on Linear and Nonlinear Optimization is intended for graduate and advanced undergraduate students in oper......more

The Many Faces of Degeneracy in Conic Optimization

The Many Faces of Degeneracy in Conic Optimization

Slater’s condition - existence of a "strictly feasible solution" - is a common assumption in conic optimization. Without......more

Dynamical Systems Models in the Life Sciences and their Underlying Scientific Issues

Dynamical Systems Models in the Life Sciences and their Underlying Scientific Issues

Broadly speaking, there are two general approaches to teaching mathematical modeling: 1) the case study approach, and 2)......more

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