Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry
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Published By Springer Singapore

9789811655753, 9789811655760

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A Brief Review of Some Swarming Models Using Stochastic Differential Equations

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry ◽

10.1007/978-981-16-5576-0_9 ◽

2021 ◽

pp. 163-179

Author(s):

Linh Thi Hoai Nguyen ◽

Ton Viet Ta ◽

Atsushi Yagi

Keyword(s):

Differential Equations ◽

Stochastic Differential Equations

Unique Continuation on a Sphere for Helmholtz Equation and Its Numerical Treatments

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry ◽

10.1007/978-981-16-5576-0_7 ◽

2021 ◽

pp. 133-144

Author(s):

Yu Chen ◽

Jin Cheng

Keyword(s):

Helmholtz Equation ◽

Unique Continuation ◽

Numerical Treatments

Notes on Backward Stochastic Differential Equations for Computing XVA

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry ◽

10.1007/978-981-16-5576-0_2 ◽

2021 ◽

pp. 15-50

Author(s):

Jun Sekine ◽

Akihiro Tanaka

Keyword(s):

Differential Equations ◽

Stochastic Differential Equations ◽

Backward Stochastic Differential Equations

Huberization Image Restoration Model from Incomplete Multiplicative Noisy Data

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry ◽

10.1007/978-981-16-5576-0_8 ◽

2021 ◽

pp. 145-162

Author(s):

Xiaoman Liu ◽

Jijun Liu

Keyword(s):

Image Restoration ◽

Noisy Data ◽

Restoration Model

Surface Denoising Based on Normal Filtering in a Robust Statistics Framework

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry ◽

10.1007/978-981-16-5576-0_6 ◽

2021 ◽

pp. 103-132

Author(s):

Sunil Kumar Yadav ◽

Martin Skrodzki ◽

Eric Zimmermann ◽

Konrad Polthier

Keyword(s):

Robust Statistics

Determinantal Reinforcement Learning with Techniques to Avoid Poor Local Optima

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry ◽

10.1007/978-981-16-5576-0_5 ◽

2021 ◽

pp. 93-102

Author(s):

Takayuki Osogami ◽

Rudy Raymond

Keyword(s):

Reinforcement Learning ◽

Local Optima

Copula-Based Estimation of Value at Risk for the Portfolio Problem

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry ◽

10.1007/978-981-16-5576-0_1 ◽

2021 ◽

pp. 1-13

Author(s):

Andres Mauricio Molina Barreto ◽

Naoyuki Ishimura

Keyword(s):

At Risk ◽

Value At Risk ◽

Portfolio Problem

An Overview of Exact Solution Methods for Guaranteed Minimum Death Benefit Options in Variable Annuities

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry ◽

10.1007/978-981-16-5576-0_3 ◽

2021 ◽

pp. 51-65

Author(s):

Eric R. Ulm

Keyword(s):

Exact Solution ◽

Variable Annuities ◽

Solution Methods

Mathematical Modeling and Inverse Problem Approaches for Functional Clothing Design Based on Thermal Mechanism

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry ◽

10.1007/978-981-16-5576-0_4 ◽

2021 ◽

pp. 67-92

Author(s):

Dinghua Xu ◽

Tingyue Li

Keyword(s):

Mathematical Modeling ◽

Inverse Problem ◽

Clothing Design ◽

Thermal Mechanism

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for IndustryLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer Singapore

A Brief Review of Some Swarming Models Using Stochastic Differential Equations

Unique Continuation on a Sphere for Helmholtz Equation and Its Numerical Treatments

Notes on Backward Stochastic Differential Equations for Computing XVA

Huberization Image Restoration Model from Incomplete Multiplicative Noisy Data

Surface Denoising Based on Normal Filtering in a Robust Statistics Framework

Determinantal Reinforcement Learning with Techniques to Avoid Poor Local Optima

Copula-Based Estimation of Value at Risk for the Portfolio Problem

An Overview of Exact Solution Methods for Guaranteed Minimum Death Benefit Options in Variable Annuities

Mathematical Modeling and Inverse Problem Approaches for Functional Clothing Design Based on Thermal Mechanism

Proceedings of the Forum "Math-for-Industry" 2018 - Mathematics for Industry
Latest Publications