Springer Optimization and Its Applications

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Behavioral Risk Management of Large-Scale Projects: E. Ted Prince
Behavioral Science Perspectives on Designing the Environment to Promote Child Health: McKane E. Sharff, Elissa Gerfen and Kenneth P. Tercyak
Machine Learning for Soccer Match Result Prediction: Rory Bunker, Calvin Yeung and Keisuke Fujii
Mathematical modeling, cases: Eligius M. T. Hendrix and Boglárka G.-Tóth
Fundamental Issues: Weili Wu, Zhao Zhang, Wonjun Lee and Ding-Zhu Du
The Simplest Schemes of Generalized Solution of Linear Operator Equation: D. A. Klyushin, S. I. Lyashko, D. A. Nomirovskii, Yu. I. Petunin and V. V. Semenov
Basic Principles of the Object-Oriented Paradigm: Petraq J. Papajorgji and Panos M. Pardalos
Functional Methods for Multimodal Data Analysis: Minhee Kim
Selected Topics in Critical Element Detection: Jose L. Walteros and Panos M. Pardalos
Towards Optimal Sampling for Learning Sparse Approximations in High Dimensions: Ben Adcock, Juan M. Cardenas, Nick Dexter and Sebastian Moraga
Introduction to GAMS Technology: Neculai Andrei
Pontryagin’s Principle for the Optimization of Escape Trajectories from Earth–Moon L2: Lorenzo Casalino and Luigi Mascolo
Social Influence-Based Optimization Problems: Chao Li, Jing Yuan and Ding-Zhu Du
Line Planning: Marie E. Schmidt
Hybrid Modeling: John N. Hooker
Generalized Spaces: Yeol Je Cho, Themistocles M. Rassias and Reza Saadati
Exact Penalty in Constrained Optimization: Alexander J. Zaslavski
Orlicz Dual Brunn-Minkowski Theory: Addition, Dual Quermassintegrals, and Inequalities: Chang-Jian Zhao and Wing Sum Cheung
Scheduling Process: Antonio José Vázquez Álvarez and Richard Scott Erwin
Virtual and Augmented Reality Applications in Building Industry: Shahrokh Shamalinia
CDS in General Graph: Ding-Zhu Du and Peng-Jun Wan
Linear Programming: Urmila M. Diwekar
Symmetry in DNA: Methods of Pattern Recognition Based on Hidden Markov Models: Borys O. Biletskyy and Anatoliy M. Gupal
Elements of Calculus and Convex Analysis: Roman A. Polyak
A Control Problem for a System of ODE with Nonseparated Multipoint and Integral Conditions: V. M. Abdullayev
Subgradient Projection Algorithm: Alexander J. Zaslavski
Multicast Routing: Carlos A. S. Oliveira and Panos M. Pardalos
Pyomo Modeling Strategies: William E. Hart, Carl Laird, Jean-Paul Watson and David L. Woodruff
Convex and Concave Functions: Asoke Kumar Bhunia, Laxminarayan Sahoo and Ali Akbar Shaikh
Linear Programming Algorithms: Nikolaos Ploskas and Nikolaos Samaras
Smart Cities in a Smart World: Beniamino Murgante and Giuseppe Borruso
Trusting Algorithms in Society 5.0: J. N. Hooker
A Polynomial Algorithm for a Class of 0–1 Fractional Programming Problems Involving Composite Functions, with an Application to Additive Clustering: Pierre Hansen and Christophe Meyer
Mathematical Preliminaries: Chongyang Liu and Zhaohua Gong
Demyanov Difference in Infinite-Dimensional Spaces: Jerzy Grzybowski, Diethard Pallaschke and Ryszard Urbański
Managing Environmental Threats: Integrating Nature-Related Risks into Investment Decisions and the Financial System: François Gardin and Sven Kerckhoven
Studying Convergence of Gradient Algorithms Via Optimal Experimental Design Theory: R. Haycroft, L. Pronzato, H. P. Wynn and A. Zhigljavsky
Quadratic Operators and Quadratic Functional Equation: M. Adam and S. Czerwik
Isometrics in Non-Archimedean Strictly Convex and Strictly 2-Convex 2-Normed Spaces: Maryam Amyari and Ghadir Sadeghi
A Variational Approach to the Evolutionary Financial Equilibrium Problem with Memory Terms and Adaptive Constraints: Annamaria Barbagallo, Patrizia Daniele, Mariagrazia Lorino, Antonino Maugeri and Cristina Mirabella
Divide-and-Conquer: Ding-Zhu Du, Panos Pardalos, Xiaodong Hu and Weili Wu
Scalarization: Panos M. Pardalos, Antanas Žilinskas and Julius Žilinskas
Dynamic String-Averaging Methods in Hilbert Spaces: Alexander J. Zaslavski
Combining Interval and Probabilistic Uncertainty: What Is Computable?: Vladik Kreinovich, Andrzej Pownuk and Olga Kosheleva
Mathematical Modeling and Optimization: William E. Hart, Carl D. Laird, Jean-Paul Watson, David L. Woodruff, Gabriel A. Hackebeil, Bethany L. Nicholson and John D. Siirola
Artificial Intelligence and Machine Learning in Precision Health: An Overview of Methods, Challenges, and Future Directions: Rachel Bennett, Mehdi Hemmati, Rajagopal Ramesh and Talayeh Razzaghi
Bivariate Extension of Linear Positive Operators: P. N. Agrawal and Meenu Goyal
Note on Superstability of Mikusiński’s Functional Equation: Bogdan Batko
Mathematical Modeling and Optimization: Michael L. Bynum, Gabriel A. Hackebeil, William E. Hart, Carl D. Laird, Bethany L. Nicholson, John D. Siirola, Jean-Paul Watson and David L. Woodruff
Application of Decomposition Methods in the Filtering of Event-Related Potentials: Kostas Michalopoulos, Vasiliki Iordanidou and Michalis Zervakis