All ebooks by Mikhail Moklyachuk in PDF and EPUB

2 Book(s)


Add to my wish list Convex Optimization Mikhail Moklyachuk This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems. Included are sections that cover: basic methods for solving constrained and unconstrained optimization problems with differentiable... Publication date: 2021-01-05 Format: PDF, ePub Publisher: Wiley-ISTE PDF ePub Add to basket £145,54
Add to my wish list Estimation of Stochastic Processes with Stationary Increments and Cointegrated Sequences Maksym Luz , Mikhail Moklyachuk Estimation of Stochastic Processes is intended for researchers in the field of econometrics, financial mathematics, statistics or signal processing. This book gives a deep understanding of spectral theory and estimation techniques for stochastic processes with... Publication date: 2019-09-25 Format: PDF, ePub Publisher: Wiley-ISTE PDF ePub Add to basket £146,59

Add to my wish list

This book provides easy access to the basic principles and methods for solving constrained and unconstrained convex optimization problems. Included are sections that cover: basic methods for solving constrained and unconstrained optimization problems with differentiable...

Publication date: 2021-01-05

Format: PDF, ePub

Publisher: Wiley-ISTE

Add to basket

£145,54

Add to my wish list

Estimation of Stochastic Processes with Stationary Increments and Cointegrated Sequences

Maksym Luz , Mikhail Moklyachuk

Estimation of Stochastic Processes is intended for researchers in the field of econometrics, financial mathematics, statistics or signal processing. This book gives a deep understanding of spectral theory and estimation techniques for stochastic processes with...

Publication date: 2019-09-25

Format: PDF, ePub

Publisher: Wiley-ISTE

Add to basket

£146,59

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All ebooks by Mikhail Moklyachuk in PDF and EPUB

Convex Optimization

Mikhail Moklyachuk

Estimation of Stochastic Processes with Stationary Increments and Cointegrated Sequences

Maksym Luz , Mikhail Moklyachuk