Titlebook: Handbook of Visual, Experimental and Computational Mathematics ; Bridges through Data Bharath Sriraman Living reference work 2025Latest edi

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Fiber, a Software for Classification and Counting in Histological Images,patterns and organization of muscle fibers under both normal and pathological conditions. The results of the various analyses performed by the software are not only highly accurate, but the processing time is reduced by up to 90% compared to the processing time without the software. Expert assistanc

大漩渦

Kleinian Groups from the Sphere at Infinity and Their Self-Joinings,n developing the higher-rank notion of critical exponents and studying higher-rank conformal measures. We especially restrict our attention to so-called self-joinings of convex cocompact Kleinian groups, which are examples of Anosov subgroups in higher rank. In this setting we present the author’s j

大火

Mathematical Modeling and Wastewater-Based Epidemiology,pter presents two methods that can be used to estimate COVID-19 (coronavirus disease 2019) prevalence from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA levels in WW. The first approach uses a linear regression model to estimate cases (dependent variable) from WW data (independent

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Modeling the Influenza Virus Dynamics Within a Host,f the host (which are constraint by the available data), are proposed. The models are fitted to viral shedding and interferon data from experimental infections in horses. The parameter estimation is performed by means of the method of Markov Chains and Monte Carlo. The model fits are compared, and t

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gimmick

Numerical Experiments and Visualization of Chaos,ion and parallelization features available to display them quickly. Recent libraries such as datashader are also used for image display, which has proven its worth in accentuating the colors of the most used regions according to the required color map. Finally, the use of relatively simple mathemati

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Parameter Estimation and Forecasting for Biased Models, such as periodically changing weather patterns. A hybrid of state augmentation and Kalman filter (KF) likelihood methods are applied to estimate both the dynamic and static parameters of the model. Data such as the monthly hospital cases from Nigeria, as well as rainfall in the same region, are uti

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dowagers-hump

Sandpiles, its connections with several branches in Computer Science, Physics, and Mathematics; some of these connections are rather surprising, but their explanation is obscure and buried in specialized research papers. This chapter uses very basic graph theory to describe some of the fundamental mathematica