We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

Note: Refer to designated chapters for curriculum details specific to the Masters of Science in Information Systems, Finance, Business Analytics, and Executive MBA Programs. The Santa Clara MBA ...

Abstract: In this paper, fundamentals and performance tradeoffs of next-generation ultra-reliable and low-latency communication (xURLLC) are investigated from the perspective of stochastic network ...

Abstract: Mathematical optimization is now widely regarded as an indispensable modeling and solution tool for the design of wireless communications systems. While optimization has played a significant ...

A comprehensive tutorial repository for learning deep learning model optimization techniques, including network tuning, backpropagation optimization, overfitting management, and root cause analysis.

In this tutorial, we shift from traditional prompt crafting to a more systematic, programmable approach by treating prompts as tunable parameters rather than static text. Instead of guessing which ...

For your reference, please refer to the paper "A Computationally Efficient Mixed-Integer Linear Formulation for the Thermal Unit Commitment Problem" for more implementation details in this code base.