ứng dụng casio fx giải toán

... nghiệm: Giải: Ta thấy (1) là bất phương trình một ẩn nên ta sẽ đi giải bất phương trình này Ta có: . Hệ có nghiệm có nghiệm . www.violet.vn/toan_cap3 Ứng dụng đạo hàm trong các bài toán tham ... tham số CHỨA THAM SỐ Khi giải các bài toán về phương trình, bất phương trình, hệ phương trình ta thường hay gặp các bài toán liên quan đến tham số. Có lẽ đây là dạng toán mà nhiều học sinh lúng ... dạng toán mà chúng ta thương hay gặp (như xác định tham số để phương trình có nghiệm, có k nghiệm, nghiệm đúng với mọi x thuộc tập D nào đó… ) và phương pháp giải các dạng toán đó. Bài toán...

Ngày tải lên: 02/08/2013, 01:25

... để giải. Tuy nhiên nếu phân tích vấn đề một cách cẩn thận thì tuyến vẫn đề đó có thể giải quyết bằng phơng pháp cực trị tơng đối hiệu quả. Và thực tế giải bằng phơng pháp cực trị cho lời giải ... );6()22; +∞∪+∞ 5 (Với giả thiết hàm số f(x) liên tục trên D) B. Bài toán Bài toán 1: Tìm m để phơng trình x 2 – 2x = m cã nghiÖm x ∈ [ 0; 1] Giải: Xét hàm số f(x) = x 2 2x Là hàm số liên tục trên [0;1] ... 2)(min; 4 9 )(max ]2;0[ ]2;0[ == tftf Đáp số : m [ ] 4 9 ;2 Bài toán 9: Tìm m để phơng trình 021211 2 =++++ mxxx (1) Vô nghiệm Giải: Đặt t = xx ++ 11 với x ∈ [-1;1] t’ = 0 12 1 12 1 = − − + xx ...

Ngày tải lên: 10/10/2013, 00:11

Ngày tải lên: 28/04/2014, 21:59

... toàn s dụng các phép biến hình để giải trong đó đề tài đà nêu đợc các phân tích các bất biến trong mỗi bài toán trên cơ sở đó làm công cụ định hớng tìm lời giải bài toán . Các bài toán đơc ... lời giải bài toán .Do đó vẫn đè nay nếu đợc quan tâm nghiêm túc thi nó giup ích rất lớn trong việc dạy và học toán .Đây là một công cụ chính trong việc định hớng tìm lời giải cho nhiều bài toán ... các bất biến trong các ánh xạ ở trường phổ thông Sau đây chung ta sẽ ứng dụng các bất biến để giải một số bài toán Bài toán 1: cho hai điểm A và B phân biệt nằm cùng một nửa mặt phẳng có bờ...

Ngày tải lên: 09/07/2014, 20:00

Ngày tải lên: 11/06/2015, 10:21

Ngày tải lên: 22/08/2013, 12:52

Ngày tải lên: 22/08/2013, 12:56

... 1). Giúp HS hình thành kỷ năng giải toán trên máy tính CASIO Trang 30 Bồi dỡng học sinh khá giỏi với chuyên đề giải toán trên máy tính bỏ túi Trn Th Ho 0984205245 pháp giải trên máy. Từ đó các em ... năng giải toán trên máy tính CASIO Trang 26 Bồi dỡng học sinh khá giỏi với chuyên đề giải toán trên máy tính bỏ túi Trn Th Ho 0984205245 P H ầ N T H ứ N H ấ T đặt vấn đề Bồi dỡng chuyên đề giải ... = 87680 Hớng dẫn giải trên mÃy tÝnh Casio fx - 570 MS: 20 SHIFT STO A 2 20 2 SHIFT STO Bì + ì (gán u 3 = 80 vào B ) Giúp HS hình thành kỷ năng giải toán trên máy tính CASIO Trang 11 Bồi...

Ngày tải lên: 08/11/2013, 04:11

... sử dụng: Gặp nhiều chất trong bài toán mà khi xét phơng trình phản ứng là phản ứng oxi hóa khử (có sự thay đổi số e) hoặc phản ứng xảy ra phức tạp, nhiều đoạn, nhiều quá trình thì ta áp dụng ... để giải bài toán. - Cần có nhiều chất oxi hoá và nhiều chất khử cùng tham gia trong bài toán ta cần tìm tổng số mol e nhận và tổng số mol e nhờng rồi mới cân bằng. III. Bài toán áp dụng Bài toán ... chất rắn thu đợc sau phản ứng tác dụng với dung dịch HNO 3 nóng d, thu đợc V lít khí NO 2 đktc. Giá trị V là: A. 11.2 lit B. 22.4 lít C. 53.76 lít D. 26.88 lít. Bài giải: Al, Fe, Mg nhờng e,...

Ngày tải lên: 05/03/2014, 00:24

... bài toán tương tự thường xuất hiện trong kinh doanh, toán tổ hợp, lý thuyết độ phức tạp tính toán, mật mã học và toán ứng dụng. Chính vì ứng dụng lớn của giải thuật di truyền( GA) và bài toán ... môn Giải thuật di truyền, chúng em tiến hành đi tìm hiểu về giải thuật di truyền và ứng dụng của giải thuật di truyền trong bài toán xếp ba lô với đề tài “Tìm hiều và ứng dụng của thuật giải ... chuyến đi. Các bài toán tương tự thường xuất hiện trong kinh doanh, toán tổ hợp, lý thuyết độ phức tạp tính toán, mật mã học và toán ứng dụng. Bài toán xếp ba lô thường được giải bằng quy hoạch...

Ngày tải lên: 18/03/2014, 02:20

... NHIÊN KHOA TOÁN - CƠ - TIN HỌC Trần Thị Như Hoa ỨNG DỤNG TỐI ƯU HÓA T OÁN HỌC GIẢI BÀI TOÁN MARKOWITZ TỐI ƯU HÓA DANH MỤC ĐẦU TƯ CHỨNG KHOÁN KHÓA LUẬN TỐT NGHIỆP ĐẠI HỌC CHÍNH QUY Ngành: Toán - Tin ứng ... 3 Giải bài toán Markowitz - tối ưu hóa danh mục đầu tư 3.1. Tổng quan về bài toán Ma rkowitz Quy hoạch toàn phương có rất nhiều ứng dụng trong thực tế, nhất là trong lĩnh vực kinh tế. Một ứng dụng ... sau: Trình bày bài toán quy hoạch toàn phương tổng quát, các phương pháp chủ yếu để giải bài toán. Sau đó đi vào bài toán Markowitz: tối ưu hóa danh mục đầu tư chứng khoán. Bài toán Markowitz được...

Ngày tải lên: 20/04/2014, 15:11

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srKuvnmm3v06CFZiJDDwCOADvHruabJxFh5efmhQ4dM0ywsLExKSurTp09aWlorw1aWZe3fv/9vf/uby+Xq16/fVVddpes6q0Ko0gDgUpZogUCgpqbm2Wefra+vd7lcmqa9995777zzzt69e1tZXNDQ0LBu3boNGzYEAoFJkybl5ORQohFpAHApyQKNPXv2vPHGG4ZhDBkyZNq0aYZhvPbaaytXrjQMQ9d1J9ikGbFUdbt27VqyZMnRo0dTUlImTZrkdruDD7l2PnDwqIk0ALjgdF0vLy83TfOHH36QjdJut7uoqOjYsWONjY3BaWRZlqZptm3v2LHjT3/60+eff25Z1meffZaXlxceHh4eHh4WFqadpKrq1Vdf/ac//am8vJxII9IA4IKTVYsjR4789NNPH3nkkUAgoKqq1+vt1avXgAEDYmJilKBFIlKf2bb9/vvvf/rpp7ZtDx06tHfv3n6//8knn3S5XB999JFhGHLPxsbG+fPnf/311zk5OUVFRTxqIg0ALixVVXVdj4+PnzhxYmRkpMfj+frrr/fv3/+rX/3qtttuc7agOVut3W633+9/9913LctKTk6+/fbb5Q4yJxdconk8nuHDh0+fPt00zeeff55H3Z6x4hFAB4k05eTs18qVK7/66qt9+/ZdddVVY8eO9Xg8MtJommZlZaWu65Zl+f3+GTNmFBcXq6o6ceLE6dOny941uY/scnPaPNq2nZGRYRjGm2++uXDhQp42VRoAXMj3Mk2TvWgVFRWjR49+/vnnFy1aFB8fP2zYsNmzZxcVFdXX1y9atGjixImKosih1StWrEhISHjiiSfmzJmTkpKi67rEnvytcnLLWnV19fbt2xcsWHDLLbesXbuWR02VBuCC6+St/6Rn0vbt21944YUxY8b8/d//vWVZMTExXq/3o48+mjhxom3br732Wn5+vsyiKSfXMWZnZ2dmZiqKIp/Xdd00zdWrV9fV1UmqNTQ0fPHFF7W1tS+++GLfvn2Dv6PzAT0e28kNiTSgg+jkrf/kg1WrVi1duvSTTz559NFHDcNoamrSdX3gwIG5ubnLli3bvHmz7DlzRim9Xm95eblzB3nfdLlc48ePnzRpkuScoihTpkx57rnnhg4d+tVXXw0ZMkShx2N7vSGRBqAjkCZYjz76aGRkZF5e3nPPPdfQ0OD1eu+5555JkyZ169YtIiIiOjra7/dblqXruuxUS05Ozs7OlmFGJ5wCgYDTEFL+KjY29je/+c2CBQuGDRu2cePGK6+80vkStCtEGoCOwLZtj8fjdrtnzJixf/9+y7Kio6NvuOGGHj16pKSkHD16dMOGDZJnLpfLMAxpBTl69OiBAwe2pfD1eDySgiUlJbKnjT1qRBoAXMBUsywrLi5u8ODBw4YNk/WKhmFUVla+/fbbq1evrqysjIyM9Pv9sugxIyPj3nvv7du3b+t5JulVU1MjNVzXrl1lW5sEG4+9XWHFI4COQFJK0zRZuCh7ywKBwLZt21599dV33nmnqqqqR48eM2fOlCFK0zSfe+654cOHh4eHtx6TiqJ4vd7ly5crijJx4sScnByZ2qG1MVUaAFyw39A1TQ6XkQ8Mw3jvvfeWL1++fv366urqa665ZsaMGRMnTly4cKEUcPfee6+UcU7/xhdffHHdunUul+v999///vvvndHFmpqa/fv3P/TQQ/fee296erryc5bqgUgDgJ9HRh1lMNA0zffff//JJ58sKyuTeHvssceef/75sLCwU36hHGxtGMbTTz8tDbFs25bWxkJWlNChn0gDgItXohmG8cEHH8yZM6egoMDlcimKEh0d/fDDDz/22GMREREyVKhpmiwPcb7QsqympiYZtGx5+LWqqlL8KSdb+INIA4ALqLa2dsOGDa+//vrHH38sO8wMw7j55pv/5V/+ZdiwYU5bEJlFa/nlUqhJcSa55eyFcno/Mn9GpAHA2XCqJWdbtOSNrKSXfKqsrNy8efPOnTvXrFmTn58vm6YjIiKGDx8+cuTIoUOHjho1Smo1aQvi3C04maQ4k49b7t3+/2+ULt4qiTQAOFtSKpmmKUs5nNksmfQ6cODA/v37161bt2nTpu3btzc0NGialpCQcNlll02ZMmXIkCHXXnuty+VqOYoIIg0ALkGVJmsXJdhUVa2pqSkpKfnmm2+Ki4t37tx5+PDhHTt2BAIB27a7d+9++eWXX3vttf379x83bpzMfjkTYCDSAISY9tnNtll3vuArW/6VMwd2/Pjx48ePe73e48ePV1ZWFhYWlpaW+ny+8vLygwcPVlRUdOnSJTk5efLkydnZ2Xl5eT179uzevXtaWpqsaZRhSac3cbP7B3/sfOZcHg5ti9vPDYk0oINoP91snVPH5L1eZr9kaYZ83vlABhKlGWNZWdmxY8cKCgqKiooKCgoKCgqOHj1aWloqqSP9rtLS0oYMGdK7d++MjIxu3bpdf/31kZGRLX+klusSg9d6tPwzuFHI2XVMpm1xO7khkQbgguSraZpyKrRysrWH/KLd1NRUUVFx9OjR+vr64uJin89XWlrq9XorKiokzJzW+PJGFh8f369fv+zs7Nzc3Ozs7CuuuKJbt27R0dEKS+pBlQbgQpOkkerK6/WWlJRUV1dXVVWVl5cXFRXV1tZ6vd5jx45JpJ04ccLr9coXSoP8iIiI1NTU7OxsGVSMiYnp379/Xl5eWlpaZGSkYRg/6xd8EGkAQo8zMyTDesGDac7ad+X0cxJymSwRDJ5hkg+cgUTnGudjTdMKCwsNw/B6vTU1NVVVVVVVVaZpHjt2zDAMn88npVhjY2NJSUlxcbEc3SI/rSxiDAsLi4uLS01NTU5OzsrK6t69e0ZGhpzM2aNHD6fak58k+OxpZwATINKADsWZc1J+Oq/m5IfT5MnJJ2dmy8knZ4pLOkupqlpZWblz505VVU+cOHH48OGqqqrGxsYtW7YYhqFp2jfffCMLC2WdfbMsbPlJt9utKEqvXr369OkzYMCAwYMHx8TEjBgxQjnZdEqiN7gfVfBhZs6fwZvMACIN6GikYHKyzflPaYchnemd9X7Hjh07cuSItNJoaGjYvHmzXF9UVLRv3z658ptvvpHckqQMrpOkAYfzV7IDTKo3Z9rM5XK5XK5evXplZGTk5eV169bt8ssv79u3b2ZmZrP+UvKtnUx1spCpMhBpQCf19ddfFxYWHj58OBAISG5VVlbu27cvEAiYpul2u/fu3VtUVORc73R4Cq6lnFJPPi/FkMvlkgyTzzvjjc6fvXv3Tk5O7tWrV2pqakxMTF5eXkZGxoABA2Sho5OjEoHO93L6TjULYKdRCK8piDSgk7r++uvlA6eKclJKPnbmyRRFiYiIiIuLk11cmqalpqbquu52u91ud3x8fHh4uG3bOTk5kmrp6elSckVFRUVFRamqmpmZKZ/JzMyUAUPl5ACm/AxOXDk/nhNRzsih/K0zT9ZsHTwLQECkAZ1Xbm5uly5dunbt6tRPuq6npaU5I4EJCQmxsbFycUREREJCgjTq1XU9MzNT8iMqKiomJiYsLEzTtPT0dJn6ap2TVS3rqmYNFZvVXs32dbX8QoBIAzqpZ555RoJK0zS3221ZltvtTktLc2qgmJiY+Pj44ChyhvikYJJVIc7nmy304AmDSANwkcycOVNRFMuynHa9TjgpJ1dttOxNFbxmJHixhqySJ9JApAG4BJzlFUrQwnfl5BGXrbfIc9ZryEoN5aejiB0mzwzDcI6JCW72yP88RBqA9uuU3YFP14RQ+WlLX2dHmvLTzrxt/HZt/8Eu5g3lSqlfnfUpMtB67t+atsXt54ZEGtBB0M229Ss1TWtqapIFL87IqtRttC3uMG2L2fkBoFOQOcKCggJpqazr+ocffqjrOgOPHeoXu7bXfQA6QJXWaQU31nJaRLrd7qamprN+4G63W7YAnnG2MtQ16+3SrDYKvkb5aY/QZiPYwXeQDSTBw7/BWyed1m7OLK+zt1LI+ebOYHJTU5Oqqgw8Ah2EvLfidOSd8dNPP50yZYq8RQ4bNmzt2rWyOe/sbmia5osvvnjzzTcPGjSow/9KEbwd3mm6ppzcNe+0gAlOLKc3TXCzGCfbnIPLg69xPtA07dixY3v37g0LCwsEAnV1dd9//31wpJWUlOzbt08SURrcuJzFPwA6SZXWaefSpAi47rrrPB6PvPm+9dZbEktnsV1BbiglQsvWJyH3cFq/0qm6gk92dT5vmmazttfN/tPZKFJZWbl3716/368oyuHDhw8dOqTrellZ2YEDB2SaU1XVQ4cOHTlyxPlymfWUpT3NfmmTv5U2pIqiyF5MIg3oXJF2Ia5s/zd03mfj4uICgYC8RXbr1k3eLoNv8rNu6KwRbaUjZUg8nNavlNi2bbuwsNA0zcrKypqamrq6Op/PZ1mWz+c7ceKEZVlyBHlNTY3X621qavL5fFVVVYZh1NTU1NTUBGdn8DCmvC7NmovKd4yKikpKSpLxScuysrKygp9zZGRkQkKCjP26XK76+vrw8HAiDUCnEDzwJdNp59js35kHCh5ta1eatYBxcr1li+pml8mRrRUVFT6fr7a2VjLM5/MVFBRYluX1equrq+vq6rxer2VZtbW1FRUVwfcMvlXwE3a73RkZGfL8Y2JiEhMTFUUJDw+XZJJmoRkZGfITmqYp1zg51yzSunTpkpSU5LysYWFhzKUBQKeo3Z2wCe6CJoOuXq9XjmktKCgwDOPIkSM+n6+ystLn89XV1TU0NJSWllZXV/t8vuA1GsELPaSKyszM1HVdWomappmWlhYREWFZlnxGgkr6XCuKEhsbGxcXp6pqZGRkfHy8bK6QrqQSb87Gf6eHQCAQCJ4sc34vcc62JdIAoCPnmTOJGLz3rrKy8vDhw+Xl5dXV1aWlpYWFhcXFxZWVlUeOHDEM4/Dhwx6Px+/3O53VnBmy3NxcRVEkhJKSkuLi4hRFiY+Pj46Otm1bTmyQALMsKzk5OSoqyjTNhISEhIQEGUt0TmBoWdQ6p7E7eRZ8il7wlKfzDwm+QGKVSAOAjkmqHF3X6+rqjhw5UlRUVFxcXFJSUlpaKh9UVlZKBaYEHWgXFhbmcrmSkpISExPlBKK0tLTExMTY2NicnBxFUaKjo2NjYxMTE6ULdnR0dHx8vLOC0ckqSaZmqx+bLTMJrvacskxir9nFLUd3nbh1llwqdA8B0DEYhhH81ubUBMElSwdYZy9v685eLmdRu3RCcf6NlmXV1NT89a9//eabb9atW+cc/Rq8QEM+Y5pmbm5u3759c3Nzr7766pycnNzc3Ozs7GYlkdKGhZHOPZ2ICn74p6sjlZ+Ojp7y+lOuKT3l/Yk0oOP8Sn6prmwPN6ytrd20aVNBQcEXX3zR1NQUGRmZnJw8Y8aMAQMGyKr94OudIiB4OcNZf+uL2ePRGZcLfme3bbu+vv7w4cNSe33xxRc7duzYs2ePYRjyb/R4PLGxsSkpKUlJSfHx8ZmZmZdddll2dnbXrl3T09MzMzNPecR5KP6fQ6QBHUQn35e2Y8eOefPmpaWlvfnmm6Zpbtiw4aabbqqqqpo9e/Zll13mbPUNLgucP0Oux6MUarZt19TUHDx4MD8//9ChQxs3bty7d29RUZGzW27AgAG5ubmpqalpaWlZWVm5ubm5ublpaWlyannwSKAzxCfZL0cUheL/OUQagI6gtLT0yJEj0uPK4/GMGTPmD3/4w/PPP5+Tk/P73//+XBbrtxNO8SSbi4uLix988MHNmzfX1tYqimKaptvtDgQCuq7PmDFj1KhR48ePT09PDz7iVWlxpI6zbMSpWUN9bJZIA9ARjB8/vkePHtLdSmbRNm3a1KdPn27duilBK9dD9F8n6w9lIPHjjz9+5ZVXNm/eLEWVrKeIjIycOnXqpEmTbrnlFlk6H9yG6nRzVM3Wbig/naAi0gDg0oiOjh4wYICEmWEYhw4dWrVq1d133z106NBQjzQJLdM0a2tr58yZ8+qrrzrNfD0ez6BBg+64446pU6dmZWUFdxYOLs46DyINQEcgw3FO13nTpqsAABe5SURBVMG3335b1/WHH344JyfHCYDQ/dfV19cvWLDgpZdeqq6ulp1Ybrf7t7/97R133NGnTx8Zb2zWWUr56eHmRBoAhM57mcslu3GPHDkye/bsnJycXbt2JSQkVFdXx8bGhsoskaxmNE1Tyqzjx49v37598eLF69at2717t9vtzsvLe+SRRwYPHtyvX7/ExETp5OvxeILb2CuhP35IpAHo1OTN3efzrVq1Ki8v77e//W1CQsK3337r8XiuvPLK061Kb1cklhoaGtxut67ru3fvXrJkyeLFi/fs2VNXVxcfHz927NhbbrnlzjvvdHYxO+sSW86Edc6zMIk0AB2BYRimaa5YsaKqquruu+8uKSk5fvz4/v37s7OzlZ+zXvwSUlXV7/e73W5N03bt2vXCCy+sW7euvLxc1/XevXs/+uijI0aM6N+/v9/vDw8PDz45DEQagA4lEAh8+umnL7/8cm5u7s6dO2UILj09feDAgaGyMN1ZYf/555+/8cYby5cvr6+vz8zMvO6662688caZM2c6/Xlb39xNpAFAaJs3b97zzz/v8Xjy8/OdsyLvvvvu6OhoJWgrcftMMmdctLGxcfr06Z999pmiKJGRkbNmzXr88cfz8vKco59VVZWm9Z12toxIA9Dx/e53v5szZ47T9FYO+WxoaJClE0r7Hns0TdM0zYaGhvnz569du1bW38+fP3/69OmRkZHBm8bk38XLTaQB6NDvZS6XcyiJZIDf7/d4PM4K/nabZ/IDV1dXz50797//+7+lG/0LL7xw1113yfbqsLAwXl8iDehcOnnb4uBGGEpQ+yink2Fwa6h21bbYtu3a2tonn3zy7bfftixr9OjRzz777ODBg+UL3W6303efF5pIAzqLTt62uNlwXLOpJufKdtK2WJoOy04ywzD69etXXl7u8XjuueeeV155RXqFnHKA8bw/7ZB7oVu/jEgDgEvz+4dt242NjYsWLSopKVFV9a677po9e7Z02ecRnR3WzADAxeaswPzyyy/feOMNVVWHDRs2a9as7OxsyTMWNJ4dqjQAuOjFhKYZhvHhhx/Onz//+++/79mz55///OdevXoFAgFpiNUJ2zMSaQAQkizL2rx58yeffJKfnx8eHv7000/36NHD2XNGnp397wo8AgC4yEzT/Pzzz9evX2/b9hVXXDFt2jRZu8+TIdIAIPQibfHixWVlZampqbfffruqqrquh/qJ0kQaAHRGL7300o4dO6Kjox955JFZs2Y5za54MkQaAIRGZWYYhmEYpaWlc+fOtW17/PjxU6dOdbvdLpdLqjTZryZ/BgIBwzD8fn/nXNNvWZY8sRUrVrhcLpfL5Xa7d+/ebVnWjBkz5LyCX/3qV7Zt+/1+Ig0ALioZXVQU5d///d8DgUBGRsaNN97Yo0cP5wJnZb9k2x//+McHHnigoKCg064WkYaWY8aM2bNnj6Io999/f1ZWlmEYo0aNeuWVV7xe77x58wzD8Hg8RBoAXOw36EAgUF5evnDhQrfbPWbMmMGDBze7QHouy5HW+/fv37p166ZNmwzD6JxPTPqnhIWFyZmub7755l//+tfq6uq9e/fecccdXbp00XXd7XYHAoH/+xL+PwOAi+a+++6T8wGmTZs2aNCg4Ldjp+GkaZrl5eXr1q07fvz48uXLBw0adPnll3eqpyQzi8GNOp988sm+ffvec889//AP/3Dw4MGYmBi5QPnpngeqNKDjFAFtcd6vbP83dK483Z/ncsPWv6TZ3x44cGDDhg2KoiQnJ48YMSL4KBy5lWEYgUBAVdWlS5eOGzcuMzNz7dq1q1evrq+vl7mlTvJCB6+UkSvDwsKioqKmTJmi6/rf/va3+vp6p+u0YRjODanSgA6CbrZtufISti1WVXXNmjWNjY2qqj7xxBPR0dFShTj9HuVwHFVVS0tL//Ef/3Hnzp1hYWH/+7//u2XLlptuuql79+5ut7vztC2WCsy5YMWKFYcPH160aNF33303YsSIwsLCp556KiwszOVyyS8BckOqNAC4GDZv3rx69WrTNIcOHfrQQw9pJzkXyACabdu//vWvv/rqq5ycnJEjR3br1m3NmjWLFy+Weq5TPTHLsmzb3rdv39NPP/3UU09NnTrVsqyrrrqqd+/e77777gMPPPDWW29JCzHnS6jSAOACktPObNv+4YcfduzYoSjKXXfdFR4eLvkU/HZsGIau68eOHSsrK+vfv7/b7R45cuT69evfeeed7du3y6hjhz/S2jAMOc1VFojKBxEREbIeRJ7kL37xC+foO13XiTQAuBicsbWKior8/PzS0tLExMRJkyadstG+qqpNTU3Lli2zLGvevHlSo+zdu9fv92/btk3WPXbgJiMyWajrut/vd7vd8s/Udb13795z5sxx/tWapv3xj3883U0YeASAC8WZ48nPz9+9e7dhGNddd11WVtbp3tMNw/j222/HjBkj82oul+vqq6++8sorDx48uGPHjo5dojmF1+kmJtuCKg0ALqxAILB79+49e/ZYlnXnnXfKQseWl+m67vV6s7Kynn76admaZpqmz+dzuVzbtm175ZVX3nzzzQ6canLMt4y+SqKfTS7yfxuAzuncV1vIuGKzhlVOT30ZOTQMo6Cg4LvvvistLU1PT58yZUqzjvvOMvRAIPDaa689/vjjUrLINFJ8fPzMmTNvvfXW999/f8eOHYZhyLfrkG37p0yZcuDAAad/ivw2IC9TG/+9RBqATupcBrjkTVZmtpw9vy2TUuaH8vPzDxw4INNCSovtFlKXLFiwIDIyct68eVlZWS+88IJlWZZlnThx4oknnhg4cOCyZct0XR8yZMiYMWN0XZcmkB3s5TBNc9CgQcOGDbv99tuXLVtWV1cnSS/PsNlDPu1r2tlWhQKUJp1zX5rzgYzdqaoq67+Db/KzbigXP/PMM7feeuugQYOcgbLg76UoyosvvviXv/zlwIEDiqI88MADr7/+eiAQkKM+g2NPObl4LxAIWJYlFzgrJpwmGqZpys8v3bM60gstATZ8+PD8/HxN0/r16zdt2rTZs2c3NTW53W6pWVsfd2VfGoBOyjrpXIq8goKCnTt3Hjp0KHjsUeoJ27arqqqefvrpuXPnHjx4UNZ6rF+/fuPGjS1niWQPtfTgd/7TyS15Hw9OX9mR3cFeEZfLparqSy+9NGnSJEVRtm3b9oc//CE+Pv6+++575ZVXpH/KmW/C/9lAx9DKymYIGbJzgue55547l/3LmqYdPXp0w4YNdXV127Ztc/rBO2scqqqqli1b1tDQIAs9LMs6dOjQ3Llzr7rqqmbhKiEn02kul0uSzPm8FGrOz+m0guyQq/lN06ysrJT8Nk2zurp68eLFX3755eHDhxMTE1VVHT169LXXXnu6co2BR6CD4ADJMz4fJzmUkyOHkhxn9zYoN9R1XVoPOzeRezrl2v/1atI0588Oubjj3H/hcCpR5/AB53QCp07t16/fli1bnFeTKg0g0joj+a3f4/FIJWSaZlhYWGNj41k/OlkYIt0uggceZS2DU0s5h8U4b8oej6epqYlXpOXzNAzDmTCT+Nd13TCMsLAwWeqpqurIkSPlkbZ81WzbpkoDOs5bNg/hjBobG+Pj4+Wt89ixYwkJCWfdj8OyrFWrVv3Hf/zHxIkT/+7v/i41NfUn762qWlRU9Jvf/Objjz+WmsPlcoWFhS1atOiGG24IXh6C4P+Bd+/e/fLLL3/00Uc+n0/O+87Ozp46deq0adP69+8vvz3IapGWVZpt21RpQOeq0jr5isewsDC/3y8fJycnB7fk/7k31HV9/PjxmzdvHj16dGpqavAXyseZmZkPP/zw4sWLZW1Ienr6jTfeOG7cuNNWGJf6mIJLfkPbtpcsWbJmzZqGhgaXy9WjR4+bb775mmuuGTFiRFJSkpS5Tr17ynsSaQBwoQwZMkQWd4wdO/bWW28dMWKEYRjOQhI0q3oLCgree+89v98/ZMiQYcOG9e3bd9q0aeHh4c4o7hkRaQBwoRw7dszlciUkJIwbN+6+++6TmSFnbxma+c///M8BAwb0799/0KBB11xzTVxcnHJyIU8rlRmRBgAXw/fffx8IBHJycvr06SN55jTnRTOqqs6fP18WoErqO5vw5LkZhnHGOUgiDUCokiXy0nVC2oLIDjCnrYa8CbZ9Eui8cDaNWZZ1+PBhVVUzMzNlss15RzYMY+nSpUeOHDlw4EBRUdGMGTMmTpwYHR3dmZetShEmr12zKlaW8FClAejgb4J+v985DFp+wQ/elezxeCT2LnKqKSe7k/z444+2baenp3ft2jX4bzdu3Lh9+/Zf//rXMTExGzduHDFixMKFCx944AF2YpwjIg1AaFdpxcXF77zzTmZmZnx8fEREhG3blZWV5eXlZWVljz/+eGJiogxbnfV5JT+X1GeWZZWUlJSUlCQkJOTl5SUnJwdfs3DhwmPHjk2cOHHw4MFZWVm6ri9ZsuQXv/iFzB6BSAPQ6aiqWlJSMnfu3Nra2rFjx/bt2zciIkLTNK/X+8UXXzz22GPdunWbPHlyYmKi08Xj4gStoii6rpeVlVVVVaWkpHTt2rVZmt50001lZWXJycm2bdfW1qqqmpGRwWY1Ig1A59XQ0PBv//Zvr7/++nvvvXf11VcrJzeExcfHT5gw4c4773z11VejoqKmTJkig5M/K9XkABeJIpmTk7YjZyz1nLbF5eXlPp8vNTU1JSWl2cjnhAkTGhsbk5KS6urqvvrqq7y8vNtuuy08PJzX9BzRiR9AqCoqKnr99dd1Xb/mmmuUn+6YjoyMfPDBB7dv375y5cry8vKzKwGdo148Hk9DQ0NlZWWz0z5b+UIpFqurq5OTk6UaC75GBhi3b9++ZMmSTz755MEHH7zyyiuZSKNKA6A47+OX6spLdcM1a9ZISSTNqJp9Vf/+/RVF+eGHH7799tupU6cG31lqJufPU35rGavMz88/ceJEZGTkoUOHFi1atHTp0mbHoSlBG6eCP28YRmFhYVVVVVZWVnZ2drNvZFmWy+WKiYnp27fvzJkzX3/9dUVRfvnLX2ZkZPBCn8uVRBrQQXTChlhffvmlfNCswYR0nIqOjrYsa+vWrbt27Zo6dWpw76tmf56yIZacSeb1eo8ePZqUlLRq1aoVK1Y4FwdfqZ4U/EIcP368sLCwqakpMzMzLi6u2T9q7dq1W7dunTx58pVXXjlw4MA777xz7969SUlJ999//0V+2koH6...

Ngày tải lên: 18/05/2014, 10:01

... vi nghiên cứu Đề tài ứng dụng máy tính giải các bài toán dao động trên ô tô xây dựng th viện các khối chức năng cho các phần tử trong mô hình dao động của ô tô và sử dụng các khối chức năng ... cứu của đề tài có thể sử dụng để biên soạn bài giảng, viết giáo trình, làm tài liệu tham khảo cho việc giảng dạy môn học ứng dụng tin học trong tính toán thiết kế và sử dụng ô tô đồng thời cũng ... nghiên cứu về dao động ô tô. Đề tài chỉ giới hạn trong phân vi ứng dụng Simulink để giải các bài toán dao động theo phơng thẳng ứng của ô tô với nguồn kích thích duy nhất từ mấp mô biên dạng...

Ngày tải lên: 27/06/2014, 11:36

... lực giải quyết vấn đề trong giải BTVL Giải bài tập là một hình thức tự lực giải quyết một vấn đề nào đó nêu ra trong đầu bài. Ở trình độ thấp là là nhận biết những điều kiện để áp dụng một giải ... mặc dù không phải bài tập nào cũng áp dụng tất cả các bước của SĐĐH giải bài tập vật lí). VI.Tác dụng của giải bài tập vật lí theo SĐĐH giải BTVL Sử dụng SĐĐH thấy rõ lợi ích khi đưa vào dạy ... những thí nghiệm đơn giản; Giải BTVL; Vận dụng các kiến thức vật lí để giải thích những hiện tượng đơn giản, những ứng dụng của vật lí trong đời sống và sản xuất; Sử dụng các thao tác tư duy...

Ngày tải lên: 17/07/2014, 16:31

... năng như: kỹ năng vận dụng các kiến thức Vật lý để giải thích những hiện tượng Vật lý đơn giản, những ứng dụng trong đời sống, kỹ năng quan sát và vận dụng phương pháp vào giải các bài tập vật ... nội dung tôi đã đưa ra phương pháp, những ví dụ dẫn chứng và những lí luận so sánh để chứng minh sự tiện lợi, hữu dụng của phương pháp ứng dụng định luật bảo toàn cơ năng và chuyển hóa năng lượng ... hai phương pháp giải quyết một bài toán thì phương pháp sử dụng định luật bảo toàn cơ năng gọn, tiện lợi và nhanh hơn nhiều. Trong bài toán ví dụ trên nếu có ma sát ta vẫn sử dụng phương pháp...

Ngày tải lên: 21/07/2014, 07:32

Ngày tải lên: 27/07/2014, 19:01

... toán thống kê trên máy tính điện tử bỏ túi Casio fx- 500MS và Casio fx- 570MS. Vào chương trình thống kê: Trên Casio fx- 500MS: ON MODE 2 Trên Casio fx- 570MS: ON MODE MODE 1 Các thao tác còn ... sử dụng các phím > ∆ . Trang 3 Frequeney? 1: ON 2: OFF GV: Nguyễn Hồng Trung Chuyên đề: SỬ DỤNG MÁY TÍNH BỎ TÚI CASIO ĐỂ GIẢI TOÁN THỐNG KÊ LỚP 10 BAN CƠ BẢN I. Mục đích: Các bài toán ... GV: Nguyễn Hồng Trung 2. Tính toán thống kê trên máy tính điện tử bỏ túi Casio fx- 500ES và Casio fx- 570ES. Vào chương trình thống kê: Bấm phím: ON MODE 3 Vào...

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