2.正定二次型: 正惯性指数等于变元个数的实二次型称为正定二次型: 正定二次型的(实对称)矩阵称为正定矩阵 设A=(an)为n阶实对称矩阵,称A的r阶子式 12 2 为方阵的顺序主子式。 定理设f是实二次型,则下述四条等价:

Chapter 10 Objectives After you have read and studied this chapter, you should be able to Perform linear and binary search algorithms on small arrays. Determine whether a linear or binary search is more effective for a given situation. Perform selection and bubble sort algorithms. Describe the heapsort algorithm and show how its performance is superior to the other two algorithms. Apply basic sorting algorithms to sort an array of objects

第二章4矩阵的运算 2.4.1矩阵运算的定义 定义(矩阵的加法和数乘)给定两个mn矩阵 [a1a12an [b1b12…b A= a21 a22 a2n B= b21b22…b2 : : Lamt am22a bmbm2b A和B加法定义为

第二章3线性方程组的理论课题 3.1.1齐次线性方程组的基础解系 对于齐次线性方程组 ax1+a12x2+…+anxn=0 Ja12x1+a22x2++ =0, ……… amx+am2x2+…+=0 令 (a1)(a1 a22 a1= a2,a2= ,…,an= am2/ amn 则上述方程组即为

Hazard o Boolean algebra does not account for propagation delays through signal paths of actually circuits. o The delay can cause glitches to occur. A glitch is an unwanted signal, usually short pulse caused by the transient behavior of signal path that have different delays A hazard exists any time the potential for glitches is present

第六章常微分方程 6-3高阶线性方程 6-3-1高阶线性常系数方程的解 6-3-2 Euler方程 第二十三讲高阶线性常系数阶线性方程 6-3-1高阶线性常系数齐次方程的解 考察n阶线性常系数齐次方程 d x dx d +am+.+ax=o dr dt d t 其中a1,an为实常数 或记成 L(Dx=o 由上一段的讨论知道方程L(Dx=0在区间(-∞,+∞)有n个线性无关解

Chapter 4 Objectives After you have read and studied this chapter, you should be able to Define an instantiable class with multiple methods and a constructor. Differentiate the local and instance variables. Define and use value-returning methods. Distinguish private and public methods. Distinguish private and public data members. Describe how the arguments are passed to the parameters in method definitions

第三节曲线的曲率与挠率 第十讲曲线的曲率与挠率 课后作业: 阅读:第三章第三节曲线的曲率与挠率pp87-94 预习:第三章第四节在天体力学中的应用p.94-96 作业: 1.在下列曲线的曲率k和挠 (1) F=(acht, asht, at): 2)F=(-sint, 1-cost, 1) (3)F=( t sInt, t cos t,an)(圆锥曲线) (4)F=(r2x2)

4.1 LTI Discrete-Time Systems in the Transform Domain · Such transformdomain- representations provide additional insight into the behavior of such systems It is easier to design and implement these systems in the transform-domain for certain applications We consider now the use of the DtFt and the z-transform in developing the transform- domain representations of an LTI system

2.1 Discrete-Time Signals: Time-Domain Representation Signals represented as sequences of numbers, called samples Sample value of a typical signal or sequence denoted as x[n] with n being an integer in the range-oo≤n≤∞ x[n] defined only for integer values of n and undefined for noninteger values of n Discrete-time signal represented by {x[n]}