2-Year Scheme of Work: Overview
... 8.4 Multiplying with numbers in standard form Challenge – Space – to see where no-one has seen before 9.1 Interpreting graphs and diagrams 9.2 Relative sized pie charts 9.3 Scatter graphs and correlation ...
... 8.4 Multiplying with numbers in standard form Challenge – Space – to see where no-one has seen before 9.1 Interpreting graphs and diagrams 9.2 Relative sized pie charts 9.3 Scatter graphs and correlation ...
Lecture Notes: College Algebra Contents Joseph Lee Metropolitan Community College
... Example 1.a. • {black, white, pink} is the set of Joseph’s three favorite colors. This set has 3 elements. • {1, 2, 3, 4} is the set of positive integers less than 5. • {−2, 2} is the set of solutions to the equation x2 = 4. • ∅ is the set containing no elements. For example, the set of real solutio ...
... Example 1.a. • {black, white, pink} is the set of Joseph’s three favorite colors. This set has 3 elements. • {1, 2, 3, 4} is the set of positive integers less than 5. • {−2, 2} is the set of solutions to the equation x2 = 4. • ∅ is the set containing no elements. For example, the set of real solutio ...
Partial differential equation
In mathematics, a partial differential equation (PDE) is a differential equation that contains unknown multivariable functions and their partial derivatives. (A special case are ordinary differential equations (ODEs), which deal with functions of a single variable and their derivatives.) PDEs are used to formulate problems involving functions of several variables, and are either solved by hand, or used to create a relevant computer model.PDEs can be used to describe a wide variety of phenomena such as sound, heat, electrostatics, electrodynamics, fluid flow, elasticity, or quantum mechanics. These seemingly distinct physical phenomena can be formalised similarly in terms of PDEs. Just as ordinary differential equations often model one-dimensional dynamical systems, partial differential equations often model multidimensional systems. PDEs find their generalisation in stochastic partial differential equations.