Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Uncertainty, Optimization and Machine Learning with Applications

Uncertainty, Optimization and Machine Learning with Applications

Jana, Ranjan Kumar
Sahoo, Laxminarayan
Sen, Nabendu

Hardcover

Series: Mathematics for Sustainable Developments

Environmental StudiesGeneral MathematicsProbability & Statistics

PREORDER - Expected ship date September 24, 2026

ISBN10: 9819545579
ISBN13: 9789819545575
Publisher: Springer
Published: Sep 24 2026
Pages: 554
Language: English

This book is a collection of select chapters on topics related to uncertainty, optimization techniques and machine learning applications, emphasizing applications that directly address topics related to five SDG goals:
SDG 3 (Good Health and Well-Being); SDG 7 (Affordable and Clean Energy); SDG 9 (Industry, Innovation and Infrastructure); SDG 12 (Responsible Consumption and Production); SDG 13 (Climate Action).The book studies the intricate landscape of these converging SDG fields. It is designed to facilitate a deeper understanding of the complexities involved in decision-making, risk management and predictive analysis in uncertain environments. The book serves as a comprehensive reference for researchers, practitioners and students, providing tools and insights to address real-world challenges through cutting-edge approaches in uncertainty, optimization and machine learning. Contents of the book are divided into seven parts:

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