深圳国际艺术高中盘点！
艺术留学已经成为近年来的热门留学趋势，中国学生赴海外艺术类院校留学数量已经连续多年翻倍增长。 据2020-2021年《门户开放报告》调查，赴美留学生最喜欢的8大专业中，除了STEM与商科类专业，艺术类专业学生占比...
AQA A Level Maths: Pure复习笔记11.1.5 Problem Solving using Vectors
Problem Solving using Vectors Problem-solving with vectors Vectors can be used to prove two lines are parallel (see Vector Addition) They can also be used to show points are collinear (lie on the s...
AQA A Level Maths: Pure复习笔记11.1.4 Position Vectors
Position Vectors What is a position vector? Position vectors describe the position of a point in relation to the origin They are different to direction vectors which describe the direction and dist...
AQA A Level Maths: Pure复习笔记11.1.3 Vector Addition
Vector Addition Vector addition Adding vectors together lets us describes the movement between two points The single vector this creates is called the resultant vector Subtracting a vector is the s...
AQA A Level Maths: Pure复习笔记11.1.2 Magnitude & Direction
Magnitude & Direction What is the magnitude of a vector? The magnitude of a vector is simply its size It also tells us the distance between two points You can find the magnitude of a vector usi...
AQA A Level Maths: Pure复习笔记11.1.1 Basic Vectors
Basic Vectors What is a vector? Vectors represent a movement of a certain magnitude (size) in a given direction You should have already come across vectors when translating functions of graphs They...
AQA A Level Maths: Pure复习笔记10.2.1 Numerical Methods in Context
Numerical Methods in Context Numerical Methods Numerical methods can be used to model a variety of situations, from the motion of planets across the solar system to the depreciation in a cars value...
AQA A Level Maths: Pure复习笔记10.1.5 Trapezium Rule (Numerical Integration)
Trapezium Rule (Numerical Integration) What is the trapezium rule? The trapezium rule is a numerical method of integration used to find the approximate area under a curve It can be used when analyt...
AQA A Level Maths: Pure复习笔记10.1.4 Newton-Raphson
Newton-Raphson The Newton-Raphson method The Newton-Raphson method finds roots of equations in the form f(x) = 0 It can be used to find approximate solutions when an equation cannot be solved using...
