Springer Optimization and Its Applications

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Algorithm Issues and Challenges Associated with the Development of Robust CFD Codes: Steven R. Allmaras, John E. Bussoletti, Craig L. Hilmes, Forrester T. Johnson, Robin G. Melvin, Edward N. Tinoco, Venkat Venkatakrishnan, Laurence B. Wigton and David P. Young
Introduction: Alexander J. Zaslavski
Introduction: Alexander J. Zaslavski
Convexity Variants and Fejer Inequalities with General Weight: Shoshana Abramovich
Neural Networks and Deep Learning: Atefeh Hemmati, Amir Masoud Rahmani, Fatemeh Bazikar, Hossein Moosaei and Panos M. Pardalos
Efficient Integration of Complex Information Systems in the ATM Domain with Explicit Expert Knowledge Models: Thomas Moser, Richard Mordinyi, Alexander Mikula and Stefan Biffl
Introduction: Neculai Andrei
Bilevel Models on the Competitive Facility Location Problem: Necati Aras and Hande Küçükaydın
Sampling and Approximation in Shift Invariant Subspaces of L 2 ( ℝ ) $$L_2(\mathbb {R})$$: Nikolaos Atreas
Automated Structural and Logical Modeling: Evgueni D. Solojentsev
Lp Modeling And Analysis Of Risk In: Evgueni D. Solojentsev
Transparency of Methods for Estimation: Evgueni D. Solojentsev
Introduction: Khanh D. Pham
Automatic Sequences Are Also Non-uniformly Morphic: Jean-Paul Allouche and Jeffrey Shallit
Larger-Scale Problems: Michael Bartholomew–Biggs
Introduction to Multimodal and Tensor Data Analytics: Nathan Gaw, Mostafa Reisi Gahrooei and Panos M. Pardalos
Stochastic Processes: Michał Kisielewicz
Systems of Vector Quasi-equilibrium Problems and Their Applications: Qamrul Hasan Ansari and Jen-Chih Yao
The OPTIMA Software: Michael Bartholomew–Biggs
Quasi-Newton Methods: Michael Bartholomew–Biggs
Future Threats: Creating a Resilient Society: Antonios Fytopoulos and Panos M. Pardalos
Computing Derivatives: Michael Bartholomew–Biggs
W-Iterations and Ripples Therefrom: B. Torsney
Conjugate Gradient Methods: Michael Bartholomew–Biggs
Experimental Design Problems and Nash Equilibrium Solutions: Egidio D’Amato, Elia Daniele and Lina Mallozzi
n-Variable Unconstrained Optimization: Michael Bartholomew–Biggs
Bound Constrained Minimization: Zdenek Dostál
Introduction: Overview of Unconstrained Optimization: Neculai Andrei
Scenario Logic And Probabilistic Risk Models Of Bribes: Evgueni D. Solojentsev
Toward Sustainable Logistics: Mehmet Soysal and Jacqueline Bloemhof-Ruwaard
Introduction: The Data Problem: Sergey I. Nikolenko
Introduction: Neculai Andrei
Introduction: Soon-Mo Jung
App Problem Formulation: J. MacGregor Smith
On the L 2 Markov Inequality with Laguerre Weight: Geno Nikolov and Alexei Shadrin
Managing Risks in Smart Warehouses from the Perspective of Industry 4.0: S. P. Plakantara, Athanasia Karakitsiou and T. Mantzou
Theoretical and Applied Programming: Ivan V. Sergienko
Optimal Control and Dynamic Optimization: Urmila Diwekar
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
Complementarity and Stochastic Independence: Luigi Accardi and Yun-Gang Lu
Statistically Principled Application of Computational Intelligence Techniques for Finance: Jerome V. Healy
Information Sharing and Risk Management: Xinbao Liu, Jun Pei, Lin Liu, Hao Cheng, Mi Zhou and Panos M. Pardalos
Learning Enabled Constrained Black-Box Optimization: F. Archetti, A. Candelieri, B. G. Galuzzi and R. Perego
Introduction: Ding-Zhu Du, Ker-I Ko and Xiaodong Hu
Scalar Derivatives in Euclidean Spaces: George Isac and Sándor Zoltán Németh
Linear Programming: Urmila Diwekar
Conjugate Gradients for Unconstrained Minimization: Zdenek Dostál
Identification of Risk Lp-Models with Groups of Incompatible Events: Evgueni D. Solojentsev
Drone Routing for Post-disaster Damage Assessment: Birce Adsanver, Elvin Coban and Burcu Balcik