What are the mathematical skilss needed in solving real world situation?5 answersIn solving real-world situations mathematically, several crucial skills are required. These include dimensional analysis, limiting cases, symmetry, scaling, making order of magnitude estimates, and the method of successive approximations. Mathematical modeling plays a significant role in analyzing real situations in terms of mathematics to identify key elements, relations, and regularities. Teaching methods focusing on problem-solving, such as resolving exponential and logarithmic equations, enhance students' abilities to tackle real-world problems effectively. Implementing real-world problems in mathematics education fosters critical and creative thinking skills, encouraging students to analyze situations and apply mathematical concepts outside the classroom. By incorporating real-life scenarios, problem-solving tasks can be made more realistic, engaging students and highlighting the relevance of mathematics in everyday life.
How can mathematical modeling be used to solve real-world problems?5 answersMathematical modeling is a method used to solve real-world problems by applying mathematical principles and procedures. It involves analyzing real-life situations using mathematical methods to gain a better understanding and find solutions. Mathematical modeling can be used at all educational levels, from primary to tertiary education, to increase students' motivation towards learning mathematics and solving real-life problems. It is also used in the analysis of high-dimensional data, where it provides algorithms and techniques for efficient and scalable solutions to real-world problems. Additionally, mathematical modeling is successfully used in genetics to describe and analyze complex living systems, using stochastic models based on probability and statistics. Furthermore, mathematical modeling can be applied in the workplace, particularly in tech-related domains, to address real-world problems and simplify them for non-experts in the field. Overall, mathematical modeling is a versatile tool that can be used in various fields to solve real-world problems.
How can operational research be used to solve real world problems?4 answersOperational research (OR) is a field that uses analytical techniques to improve decision-making in various domains such as manufacturing, transportation, project management, and supply chain management. OR involves the development of analytical tools and methods to make better decisions when faced with complex problems. It can be used to balance conflicting objectives and find optimal solutions when resources are limited. OR techniques find applications in sustainable engineering, sustainable society, and business, including sustainable supply chain planning, traffic flow optimization, and energy conservation. OR can also be applied in healthcare to address decision problems, account for multiple stakeholder perspectives, and improve system performance. Furthermore, OR has been used in specific cases such as reducing the unit dose needed for life-saving immunoglobulin for rabies treatment, highlighting the potential for OR to address real-world public health challenges.
What are the uses of derivatives in computer science?4 answersDerivatives in computer science have various uses. They are used in guiding parameter space searches and solving inverse problems in computer graphics, image processing, and deep learning algorithms. Derivatives are also required for efficient optimization, computing forces, and computing stress in computer graphics applications. In addition, derivatives are used in building Gaussian process emulators for complex deterministic models, which enable fast prediction of model outputs. Furthermore, derivatives are used in evaluating lexicographical directional derivatives of functional programs, including those with conditional branches and loops. Overall, derivatives play a crucial role in enhancing the performance and accuracy of various computational procedures in computer science.
How can linear programming be used to solve real-world problems?4 answersLinear programming is a mathematical method used to optimize outcomes in real-world problems by creating mathematical models. It is extensively applied in various fields such as agriculture, management, business, transportation, and engineering to achieve optimal results with limited resources. Linear programming can be used to represent and solve combinatorial optimization problems, and the simplex algorithm is commonly employed for this purpose. Additionally, linear programming with integer variables, known as Integer Linear Programming (ILP), is used to address problems where goods or resources need to be divided into indivisible units. ILP is applied in industrial analysis, economic portfolio management, public investments planning, biology, high energy physics, engineering, and robotics. By formulating standard LP problems and adding specific conditions, linear programming can provide solutions to a wide range of real-world problems.
Can the Caputo derivative be used to solve real world problems?5 answersThe Caputo derivative has been used to solve real-world problems in various fields. One study introduced the ABC-Caputo operator with ML kernel and applied it to viral disease models for AIDS and Zika, as well as a macroeconomic model. Another paper discussed the solvability of multiterm initial value problems using the Caputo-Fabrizio fractional derivative, deriving necessary conditions and obtaining closed-form solutions. A different research considered real-world modeling problems, such as the vertical motion of a falling body in a resistant medium and the Malthusian growth equation, using the Liouville-Caputo fractional conformable derivative. Additionally, a collocation method based on biorthogonal Hermite cubic spline functions was developed to solve fractional optimal control problems using the Caputo-Fabrizio derivative operator. The solvability of $p$-Laplace boundary value problems with Caputo fractional derivative was also discussed, obtaining existence results for non-negative solutions. These studies demonstrate the applicability of the Caputo derivative in solving real-world problems in various domains.