* Cantinho Satkeys

Refresh History
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  4tj97u<z
    03 de Novembro de 2024, 10:49
  • j.s.: bom fim de semana  43e5r6 49E09B4F
    02 de Novembro de 2024, 08:37
  • j.s.: ghyt74 a todos  4tj97u<z
    02 de Novembro de 2024, 08:36
  • FELISCUNHA: ghyt74   49E09B4F  e bom feriado   4tj97u<z
    01 de Novembro de 2024, 10:39
  • JPratas: try65hytr Pessoal  h7ft6l k7y8j0
    01 de Novembro de 2024, 03:51
  • j.s.: try65hytr a todos  4tj97u<z
    30 de Outubro de 2024, 21:00
  • JPratas: dgtgtr Pessoal  4tj97u<z k7y8j0
    28 de Outubro de 2024, 17:35
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  k8h9m
    27 de Outubro de 2024, 11:21
  • j.s.: bom fim de semana   49E09B4F 49E09B4F
    26 de Outubro de 2024, 17:06
  • j.s.: dgtgtr a todos  4tj97u<z
    26 de Outubro de 2024, 17:06
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana
    26 de Outubro de 2024, 11:49
  • JPratas: try65hytr Pessoal  101yd91 k7y8j0
    25 de Outubro de 2024, 03:53
  • JPratas: dgtgtr A Todos  4tj97u<z 2dgh8i k7y8j0
    23 de Outubro de 2024, 16:31
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    23 de Outubro de 2024, 10:59
  • j.s.: dgtgtr a todos  4tj97u<z
    22 de Outubro de 2024, 18:16
  • j.s.: dgtgtr a todos  4tj97u<z
    20 de Outubro de 2024, 15:04
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  101041
    20 de Outubro de 2024, 11:37
  • axlpoa: hi
    19 de Outubro de 2024, 22:24
  • FELISCUNHA: ghyt74   49E09B4F  e bom fim de semana  4tj97u<z
    19 de Outubro de 2024, 11:31
  • j.s.: ghyt74 a todos  4tj97u<z
    18 de Outubro de 2024, 09:33

Autor Tópico: Computer Simulation of Realistic Mathematical Models  (Lida 65 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Online mitsumi

  • Moderador Global
  • ***
  • Mensagens: 115690
  • Karma: +0/-0
Computer Simulation of Realistic Mathematical Models
« em: 19 de Junho de 2021, 09:51 »

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 11 lectures (1h 37m) | Size: 986.6 MB
How to model the interaction between prey and predators, as well as the evolution of epidemics

What you'll learn:
How to create and interpret computer simulations of real-life mathematical models using open-source software
How epidemics evolve
How the prey-predator model (or Lotka-Volterra model) explains a variety of real-world phenomena
How the parameters of the model affect results

Requirements
the basics of calculus could be enough, especially what derivatives and functions are.

Description
In this course two mathematical models are analyzed: one is the so-called Lotka-Volterra model, which is also known as prey-predator model, and the other is the model of epidemics. We will analyze and solve these models using free and open-source software called Scilab (quite similar to Matlab). In particular, we will use a tool that is contained in Scilab called Xcos, which will help us construct the mathematical models.

The models presented in the course are very important in applied mathematics because they can explain a variety of phenomena. The Lotka-Volterra model derives its name from the mathematicians who first employed it to explain some real-life phenomena: Lotka used this model to explain the interaction between two molecules, so he was interested in chemical reactions, whereas Volterra was an Italian mathematician who used this model to explain why the number of sharks in the Adriatic Sea had increased substantially during the first world war with respect to the pre-war and the post-war periods.

The discovery about the greater percentage of sharks was made by Volterra's son-in-law, whose name was Umberto D'Ancona. D'Ancona was an Italian biologist who made this observation from the data he collected, and asked Volterra to analyze this problem mathematically, knowing that Volterra was a respected mathematician. Volterra took the challenge and decided to create a mathematical model, which is now known as the Lotka-Volterra model, or prey-predator model. This model focuses on the interaction between two populations: a population of prey versus a population of predators. In this case, the population of predators is represented by sharks, whereas the population of prey is represented by prey-fish.

Volterra understood that the reason why the number of sharks increased dramatically during the first world war was due to the less intense activity of fishing, which had interfered with the interaction between sharks and prey-fish.

We are going to see this more thoroughly in the course; besides, the prey-predator model can be used to explain other interesting phenomena that I will mention at the end of the first part of the course. After that, we are going to study epidemics and we will use the same concepts previously introduced with Scilab.

The mathematics that we need in the course are not difficult; you just need to know what derivatives and functions are, but we are not going into the mathematical details of how to solve a model. In fact, I want to focus more on the practical applications.

Who this course is for
Students who want to understand how to implement mathematical models using Scilab
Students who want to understand how to construct a mathematical model


Download link:
Só visivel para registados e com resposta ao tópico.

Only visible to registered and with a reply to the topic.

Links are Interchangeable - No Password - Single Extraction