Abstract: This paper investigates the variable convergence rate stability of high-order nonlinear impulsive systems. Different from most of the existing methods, this work eliminates the ...
The distribution of an arbitrary linear combination of Student-t random variables with odd degrees of freedom is derived. An easy method of expressing this distribution as a mixture of t-distributions ...
This example shows how to train nanoGPT using BackendBench with kernels generated by LLMs. The example is built upon @karpathy's nanoGPT project. uv venv source .venv ...
This research evaluates the effect of monetary policy rate and exchange rate on inflation across continents using both Frequentist and Bayesian Generalized Additive Mixed Models (GAMMs). Extending an ...
Centrality measures allow to identify important nodes in networked systems. An open question in network theory is the empirical observation that a node’s centrality—whose computation requires ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Gordon Scott has been an active investor and technical analyst or 20+ years. He is a Chartered Market Technician (CMT). Vikki Velasquez is a researcher and writer who has managed, coordinated, and ...
Implementing FEED PROTOCOL RANDOM NUMBER GENERATOR PROGRAM (FPRNG) to your program is very easy. You derive the needed accounts and pass into the instruction. And then in your program make a CPI to ...
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