智趣两试题 一半对一半

有两个一半对一半型智趣试题,它们不仅具有相近的题式结构,而且其解法也类似,很有意味题哦1!(2006年大连市中考试题)甲、乙两工程队分别承担一条2千米公路的维修工作,甲队有一半时间每天维修公路x千米,另一半时间每天维修公路y千米;乙队维修前     

负压爆炸载荷和数据采集间隔对弹性开孔板动应力集中的影响

基于ANSYS 7.0/LS-DYNA程序,对3 m3 m四边简支,厚度0.025 m,中心开有0.3 m0.3 m方孔的弹性板,在正压和负压三角爆炸载荷作用下的应力响应进行了分析,利用能量密度时间分布函数（TDFED）确定了动应力集中因子,并给出其计算步骤。计算结果表明计算总时间和数据采集时间间隔对动应力集中因子影响较大,而负压荷载影响较小。     

基于小波分析的多期择时能力模型及实证研究

本文利用小波变换对基金收益率及其方差进行多尺度分解,并将小波分析引入资本资产定价模型,计算小波多尺度β。进一步地将小波分析引入到传统的H-M模型中,利用小波函数的多尺度与不同的投资期限对应,对模型进行多期改造,从而获得择时能力的多期评价模型。以我国经济背景为依托,选择14只开放式基金进行实证研究,结果表明,利用小波分析可以有效的对基金的择时能力进行多期评价。     

一维紧邻时间随机环境下可逗留随机游动的有关性质

给出了可数状态空间中时间随机环境下可逗留随机游动的一个统一模型,对于一维紧邻时间随机环境下的随机游动,在一定的条件下,讨论它的极限性质和中心极限定理,该结论类似于空间随机环境下的随机游动的有关结论.     

时间测度上一类种群动力系统的周期解

在时间测度上研究一类具有时滞和Beddington-DeAngelis功能性反应的n种群食物链系统.利用Mawhin重合度理论建立了这一类系统的正周期解存在的充分性条件,从而使这一类系统的连续时间和离散时间情形即微分方程和差分方程得到了统一研究.     

基于Markov过程的大学生就业移动预测模型

针对高职毕业生就业实际,分析了就业状态及其转移过程的马尔科夫性,依据转移矩阵建立了就业跟踪模型和时间效益模型,结合历年的就业实际对模型效果进行分析,给出加快就业转移速度的动态策略.     

“长不高”的忧虑

蚓螈的忧虑：我是蚓螈（yuan）,瞧瞧,我就像个小不点,我的很多朋友都又高又魁梧,我真担心,万一我一直长不高可怎么办呢？     

非线性模型滞后相依的广义互信息检验

The general mutual information （GMI） and general conditional mutual information （GCMI） are considered to measure lag dependences in nonlinear time series. Both of the measures have the property of invariance with transform. The statistics based on GMI and GCMI are estimated using the correlation integral. Under the hypothesis of independent series, the estimators have Gaussian asymptotic distributions. Simulations applied to generated nonlinear series demonstrate that the methods appear to find frequently the correct lags.     

Multiplicity of positive solutions to period boundary value problems for second order impulsive differential equations

This paper deals with the existence and multiplicity of positive solutions to second order period boundary value problems with impulse effects. The proof of our main results relies on a well-known fixed point theorem in cones. The paper extends some previous results and reports some new results about impulsive differential equations.     

Asymptotically optimal dividend policy for regime-switching compound Poisson models

This work develops asymptotically optimal dividend policies to maximize the expected present value of dividends until ruin.Compound Poisson processes with regime switching are used to model the surplus and the switching（a continuous-time controlled Markov chain） represents random environment and other economic conditions.Assuming the switching to be fast varying together with suitable conditions,it is shown that the system has a limit that is an average with respect to the invariant measure of a related Markov chain.Under simple conditions,the optimal policy of the limit dividend strategy is a threshold policy.Using the optimal policy of the limit system as a guide,feedback control for the original surplus is then developed.It is demonstrated that the constructed dividend policy is asymptotically optimal.