Springer Optimization and Its Applications

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Statistically Principled Application of Computational Intelligence Techniques for Finance

Jerome V. Healy

Complementarity and Stochastic Independence

Luigi Accardi and Yun-Gang Lu

Introduction

Ding-Zhu Du, Ker-I Ko and Xiaodong Hu

Information Sharing and Risk Management

Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou and Panos M. Pardalos

An introduction to graphs

Michael A. Henning and Jan H. van Vuuren

Hermite–Hadamard-Like Inequalities Involving Generalized Biconvex Functions

Muhammad Uzair Awan, Muhammad Aslam Noor, Muhammad Zakria Javed, Khalida Inayat Noor and Michael Th. Rassias

System-Theoretical Description of Open Physical Processes

Panos M. Pardalos and Vitaliy Yatsenko

Penalty Function Methods

Michael Bartholomew–Biggs

Inequality Constrained Optimization

Michael Bartholomew–Biggs

Sequential Quadratic Programming

Michael Bartholomew–Biggs

Bases of Logic and Probabilistic Calculus

Evgueni D. Solojentsev

Equality Constrained Optimization

Michael Bartholomew–Biggs

Extending Equality Constraint Methods

Michael Bartholomew–Biggs

Linear Equality Constraints

Michael Bartholomew–Biggs

Anticipating Disasters Through a Security Twin

Fabrizio Baiardi, Salvatore Ruggieri and Vincenzo Sammartino

A Note on Open Problems and Challenges in Optimization Theory and Algorithms

A. Migdalas and P. M. Pardalos

Projection of a Point onto a Convex Set via Charged Balls Method

Majid E. Abbasov

Applications in n Variables

Michael Bartholomew–Biggs

Global Unconstrained Optimization

Michael Bartholomew–Biggs

Mathematical Modeling Using Algebraically Oriented Languages

Neculai Andrei

Weak Line Searches and Convergence

Michael Bartholomew–Biggs

Introduction

Marie E. Schmidt

Optimization with Restrictions

Michael Bartholomew–Biggs

The Steepest Descent Method

Michael Bartholomew–Biggs

Bound Constrained Minimization

Zdenek Dostál

Introduction: Overview of Unconstrained Optimization

Neculai Andrei

Linear Programming

Urmila Diwekar

Conjugate Gradients for Unconstrained Minimization

Zdenek Dostál

Drone Routing for Post-disaster Damage Assessment

Birce Adsanver, Elvin Coban and Burcu Balcik

Scalar Derivatives in Euclidean Spaces

George Isac and Sándor Zoltán Németh

Identification of Risk Lp-Models with Groups of Incompatible Events

Evgueni D. Solojentsev

Optimization is Ubiquitous

Ramteen Sioshansi and Antonio J. Conejo

Route Sequence Prediction Through Inverse Reinforcement Learning and Bayesian Optimization

Anselmo R. Pitombeira-Neto

Smart Cities – Enabling Technologies for Future Living

Peter Wlodarczak

Exact Solution to Systems of Linear First-Order Integro-Differential Equations with Multipoint and Integral Conditions

M. M. Baiburin and E. Providas

On the Composition of Convex Envelopes for Quadrilinear Terms

Pietro Belotti, Sonia Cafieri, Jon Lee, Leo Liberti and Andrew J. Miller

Newton and Newton-like Methods

Michael Bartholomew–Biggs

A New Adaptive Conjugate Gradient Algorithm for Large-Scale Unconstrained Optimization

Neculai Andrei

Introduction

Rosario Toscano

Introduction

Kok Lay Teo, Bin Li, Changjun Yu and Volker Rehbock

New Applications of γ-Quasiconvexity

Shoshana Abramovich

Lp Model of Credit Risk for Juridical

Evgueni D. Solojentsev

Optimization Methods for Large-Scale Radiotherapy Problems

Dionne M. Aleman, Hamid R. Ghaffari, Velibor V. Mišić, Michael B. Sharpe, Mark Ruschin and David A. Jaffray

Introduction

Yuri Sachkov

Preliminary Concepts and Definitions

Ioannis K. Kookos

Equality Constrained Minimization

Zdenek Dostál

The Major Definitions, Concepts and Auxiliary Facts

D. A. Klyushin, S. I. Lyashko, D. A. Nomirovskii, Yu. I. Petunin and V. V. Semenov

Introduction

Silvia Schwarze

Artificial Intelligence, Optimization, and Data Sciences in Sports: Editorial

Maude J. Blondin, Iztok Fister and Panos M. Pardalos

Introduction

Eligius M. T. Hendrix and Boglárka G.-Tóth